A

Abery, J. E. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2019) Comparing the MAMS framework with the combination method in multi-arm adaptive trials with binary outcomes. Statistical Methods in Medical Research, 28 (6). pp. 1716-1730. ISSN 0962-2802 doi: https://doi.org/10.1177/0962280218773546

Abeyasekera, S. (2005) Multivariate methods for index construction. In: Household Sample Surveys in Developing and Transition Countries. United Nations Publication ST/ESA/STAT/SER.F/96, pp. 367-387. ISBN 9211614813

Abeyasekera, S. (2005) Quantitative analysis approaches to qualitative data: why, when and how? In: Holland, J.D. and Campbell, J. (eds.) Methods in Development Research; Combining Qualitative and Quantitative Approaches. ITDG Publishing, Warwickshire, pp. 97-106. ISBN 9781853395727

Allan, E.F., Coe, R. and Stern, R.D. (2004) General linear models. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 283-298. ISBN 9780851997223

Allan, E.F., Stern, R.D. and Dale, I.C. (2004) Resources and further reading. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 365-377. ISBN 9780851997223

Alquier, P., Friel, N., Everitt, R. and Boland, A. (2016) Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Statistics and Computing, 26 (1). pp. 29-47. ISSN 1573-1375 doi: https://doi.org/10.1007/s11222-014-9521-x

Andrade-Bejarano, M. (2008) Monthly average temperature modelling. In: Soares, A., Pereira, M. J. and Dimitrakopoulos, R. (eds.) Geoenv Vi - Geostatistics for Environmental Applications, Proceedings. Quantitative Geology and Geostatistics, 15. Springer, Dordrecht, pp. 247-262. ISBN 9781402064470

Ayres, K. L. and Underwood, F. M. (2010) Electronic marking of statistics assessments for bioscience students. Bioscience Education, 15. c4. ISSN 1479-7860 doi: https://doi.org/10.3108/beej.15.c4

B

Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815 and Kelly, P. (2008) Statistical methods for examining genetic influences of resistance to anti-epileptic drugs. Expert Review of Clinical Pharmacology, 1 (1). pp. 137-144. ISSN 1751-2433 doi: https://doi.org/10.1586/17512433.1.1.137

Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Balding, D. J., Vyse, T. J. and Whittaker, J. C. (2007) Family-based association analysis with ordered categorical phenotypes, covariates and interactions. Genetic Epidemiology, 31 (1). pp. 1-8. ISSN 0741-0395 doi: https://doi.org/10.1002/gepi.20183

Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Böhning, D. and Lerdsuwansri, R. (2011) An extension of an over-dispersion test for count data. Computational Statistics & Data Analysis, 55 (1). pp. 466-474. ISSN 0167-9473 doi: https://doi.org/10.1016/j.csda.2010.05.015

Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Whitehead, J. and Lucini, M. M. (2005) Design considerations in the sequential analysis of matched case–control data. Statistics in Medicine, 24 (6). pp. 853-867. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1968

Baksh, M.F. ORCID: https://orcid.org/0000-0003-3107-8815, Balding, D.J., Vyse, T.J. and Whittaker, J.C. (2006) A likelihood ratio appropach to family-based association studies with covariates. Annals of Human Genetics, 70 (1). pp. 131-139. ISSN 0003-4800 doi: https://doi.org/10.1111/j.1529-8817.2005.00189.x

Baksh, M.F. ORCID: https://orcid.org/0000-0003-3107-8815, Haars, G., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Van Noord, P.A.H. and Whitehead, J. (2006) Comparing correlations of continuous observations from two independent populations using a sequential approach. Statistics in Medicine, 25 (24). pp. 4293-4310. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2676

Barahona, C. (2005) Methodology of the evaluation programme: Experience and innovation: How the research methods evolved. In: Levy, S. (ed.) Starter Packs: A Strategy to Fight Hunger in Developing Countries? CABI Publishing, Oxon. ISBN 9780851990088

Barahona, C. and Cromwell, E. (2005) Lessons from starter pack: starter pack and sustainable agriculture. In: Levy, S. (ed.) Starter Packs: A Strategy to Fight Hunger in Developing Countries? CABI Publishing. ISBN 9780851990088

Barahona, C. and Levy, S. (2007) The best of both worlds: Producing national statistics using participatory methods. World Development, 35 (2). pp. 326-341. ISSN 0305-750X doi: https://doi.org/10.1016/j.worlddev.2006.10.006

Barahona, C. and Wilson, I.M. (2006) Monitoring and evaluation in Malawi. Significance: Journal of the Royal Statistical Society, 3 (2). pp. 73-75. ISSN 1740-9705 doi: https://doi.org/10.1111/j.1740-9713.2006.00165.x

Barahona, C., Jupp, l.D., Noponen, H. and Welbourn, A. (2007) Creating and evolving methods for participatory development. In: Brock, K. and Pettit, J. (eds.) Springs of participation. Practical Action Publishing, Rugby, Warwickshire. ISBN 9781853396472

Bennett, E. L., Blencowe, E., Brandon, K., Brown, D., Burn, R. W., Cowlishaw, G., Davies, G., Dublin, H., Fa, J. E., Milner-Gulland, E. J., Robinson, J. G., Rowcliffe, J. M., Underwood, F. M. and Wilkie, D. S. (2007) Hunting for consensus: reconciling bushmeat harvest, conservation, and development policy in West and Central Africa. Conservation Biology, 21 (3). pp. 884-7. ISSN 0888-8892 doi: https://doi.org/10.1111/j.1523-1739.2006.00595.x

Berger, Y.G. (2005) Variance estimation for systematic sampling from deliberately ordered populations. Communications in Statistics - Theory and Methods, 34 (7). pp. 1533-1541. ISSN 0361-0926 doi: https://doi.org/10.1081/STA-200063383

Berger, Y.G. (2005) Variance estimation with Chao's sampling scheme. Journal of Statistical Planning and Inference, 127 (1-2). pp. 253-277. ISSN 0378-3758 doi: https://doi.org/10.1016/j.jspi.2003.08.014

Berger, Y.G. (2005) Variance estimation with highly stratified sampling designs with unequal probabilities. Australian & New Zealand Journal of Statistics, 47 (3). pp. 365-373. ISSN 1369-1473 doi: https://doi.org/10.1111/j.1467-842X.2005.00401.x

Berger, Y.G. and Skinner, C.J. (2005) A jackknife variance estimator for unequal probability sampling. Journal of the Royal Statistical Society, Series B 6 (1). pp. 79-89. ISSN 1369-7412 doi: https://doi.org/10.1111/j.1467-9868.2005.00489.x

Boehning, D., Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Lerdsuwansri, R. and Gallagher, J. (2013) Use of the ratio plot in capture-recapture estimation. Journal of Computational and Graphical Statistics, 22 (1). pp. 135-155. ISSN 1061-8600 doi: https://doi.org/10.1080/10618600.2011.647174

Bolland, K., Weeks, A., Whitehead, J. and Lees, K.R. (2004) How a sequential design would have affected the GAIN international study of Gavestinel in stroke. Cerebrovascular Diseases, 17 (2-3). pp. 111-117. ISSN 1015-9770 doi: https://doi.org/10.1159/000075778

Branson, M. and Whitehead, J. (2003) A score test for binary data with patient non-compliance. Statistics in Medicine, 22 (20). pp. 3115-3132. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1542

Branson, M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, J., (2004) Estimating the covariances between efficient score test statistics in comparative studies. Applied Statistics Technical Report. 04/2. The University of Reading

Brittain, S. and Böhning, D. (2009) Estimators in capture-recapture studies with two sources. Asta-Advances in Statistical Analysis, 93 (1). pp. 23-47. ISSN 1863-8171 doi: https://doi.org/10.1007/s10182-008-0085-y

Brodie, M.J. and Whitehead, J. (2006) Active control comparisons: the ideal trial design. Epilepsy Research, 68 (1). 69-73 . ISSN 0920-1211 doi: https://doi.org/10.1016/j.eplepsyres.2005.09.025

Burn, R. and Underwood, F. (2000) Statistical aspects of sampling populations of forest elephants. Natural Resource Modeling, 13 (1). pp. 135-150.

Burn, R., Underwood, F. and Blanc, J. (2011) Global trends and factors associated with the illegal killing of elephants: a hierarchical bayesian analysis of carcass encounter data. PLoS ONE, 6 (9). e24165. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0024165

Burn, R.W. (2007) Elephants and ivory. Significance, 4 (3). 118 - 122. ISSN 1812-5735 doi: https://doi.org/10.1111/j.1740-9713.2007.00244.x

Burn, R.W. and Underwood, F.M. (2004) Contributors to: Monitoring of illegal hunting in elephant range states. In: Proceedings of the Conference of the Parties to CITES (UNEP), Bangkok.

Butler, N.A. (2003) Minimum aberration construction results for nonregular two-level fractional factorial designs. Biometrika, 90 (4). pp. 891-898. ISSN 0006-3444 doi: https://doi.org/10.1093/biomet/90.4.891

Butler, R., (2009) Sampling for visibly undetectable biological organisms: a review. Applied Statistics Technical Report . 1/09. University of Reading

Böhning, D. (2005) How many food-borne outbreaks of salmonella infection occurred in France in 1995? Application of the capture-recapture method to three surveillance systems. American Journal of Epidemiology, 152 (2). pp. 389-390. ISSN 0002-9262 doi: https://doi.org/10.1093/aje/kwi209

Böhning, D. (2005) Meta-analysis: a unifying meta-likelihood approach framing unobserved heterogeneity, study covariates, publication bias, and study quality. Methods of Information in Medicine, 44 (1). pp. 127-136. ISSN 0026-1270

Böhning, D. (2005) Nonparametric maximum likelihood estimation of the population size based upon the counting distribution. Journal of the Royal Statistical Society, Series C, . pp. 721-737. ISSN 0964-1998

Böhning, D. (2008) A simple variance formula for population size estimators by conditioning. Statistical Methodology, 5 (5). pp. 410-423. ISSN 1572-3127 doi: https://doi.org/10.1016/j.stamet.2007.10.001

Böhning, D. (2010) Some general comparative points on Chao’s and Zelterman’s estimators of population size. Scandinavian Journal of Statistics , 37 (2). pp. 221-236. ISSN 0303-6898 doi: https://doi.org/10.1111/j.1467-9469.2009.00676.x

Böhning, D. and Kuhnert, R. (2005) The failure of meta-analytic asymptotics for the seemingly efficient estimator of the common risk difference. Statistical Papers, 46 (4). pp. 541-554. ISSN 0932-5026 doi: https://doi.org/10.1007/BF02763004

Böhning, D. and Patilea, V. (2005) Asymptotic normality in mixtures of power series distributions. Scandinavian Journal of Statistics, 32. pp. 115-131.

Böhning, D. and Viwatwongkasem, C. (2005) Revisiting proportion estimators. Statistical Methods in Medical Research, 14 (2). pp. 147-169. ISSN 0962-2802 doi: https://doi.org/10.1191/0962280205sm393oa

Böhning, D. (2008) Editorial: recent developments in capture-recapture methods and their applications. Biometrical Journal, 50 (6). pp. 954-956. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.200810481

Böhning, D. and Vilas, V. J. D. (2009) On the question of proportionality of the count of observed Scrapie cases and the size of holding. BMC Veterinary Research, 5. 17. ISSN 1746-6148 doi: https://doi.org/10.1186/1746-6148-5-17

Böhning, D. and Del Rio Vilas, V. J. (2008) Estimating the hidden number of scrapie affected holdings in great Britain using a simple, truncated count model allowing for heterogeneity. Journal of Agricultural Biological and Environmental Statistics, 13 (1). pp. 1-22. ISSN 1085-7117 doi: https://doi.org/10.1198/108571108x277904

Böhning, D. and Patilea, V. (2008) A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only. Journal of the American Statistical Association, 103 (481). pp. 212-221. ISSN 0162-1459 doi: https://doi.org/10.1198/016214507000000383

Böhning, D. and van der Heijden, P. (2009) Recent developments in life and social science applications of capture-recapture methods. Advances in Statistical Analysis, 93 (1). pp. 1-3. ISSN 1863-8171 doi: https://doi.org/10.1007/s10182-008-0097-7

Böhning, D., Böhning, W. and Holling, H. (2008) Revisiting Youden's index as a useful measure of the misclassification error in meta-analysis of diagnostic studies. Statistical Methods in Medical Research, 17 (6). pp. 543-554. ISSN 0962-2802 doi: https://doi.org/10.1177/0962280207081867

Böhning, D., Dietz, E., Kuhnert, R. and Schön, D. (2005) Mixture models for capture-recapture count data. Statistical Methods and Applications, 14 (1). 29-43.. ISSN 1618-2510 doi: https://doi.org/10.1007/BF02511573

Böhning, D., Kuhnert, R. and Rattanasiri, S. (2009) Meta-analysis of binary data using profile likelihood. CRC Press, Boca Raton, Florida, pp208. ISBN 9781584886303

Böhning, D., Seidel, W., Alfo, M., Garel, B., Patilea, V. and Walther, G. (2007) Advances in mixture models. Computational Statistics & Data Analysis, 51 (11). pp. 5205-5210. ISSN 0167-9473 doi: https://doi.org/10.1016/j.csda.2006.10.025

Böhning, D.A.W. (2009) Some general comparative points on Chao's and Zelterman's estimators of the population size. Scandinavian Journal of Statistics, 37 (2). 221 - 236. ISSN 0303-6898 doi: https://doi.org/10.1111/j.1467-9469.2009.00676.x

Böhning, W., Böhning, D. and Holling, H. (2007) Meta-analysis of binary data based upon dichotomized criteria. Zeitschrift für Psychologie / Journal of Psychology, 215 (2). pp. 122-131. ISSN 0044-3409 doi: https://doi.org/10.1027/0044-3409.215.2.122

C

Cardinali, C., Pezzulli, S. and Andersson, E. (2004) Influence-matrix diagnostic of a data assimilation system. Quarterly Journal of the Royal Meteorological Society, 130 (603). pp. 2767-2786. ISSN 1477-870X doi: https://doi.org/10.1256/qj.03.205

Chapman, C.M.C., Gibson, G.R. ORCID: https://orcid.org/0000-0002-0566-0476, Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Rowland, I. (2013) Comparative in vitro inhibition of urinary tract pathogens by single- and multi-strain probiotics. European Journal of Nutrition, 52 (6). pp. 1669-1677. ISSN 1436-6215 doi: https://doi.org/10.1007/s00394-013-0501-2

Chataway, J., Nicholas, R., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Miller, D. H., Parsons, N., Valdes-Marquez, E., Stallard, N. and Friede, T. (2011) A novel adaptive design strategy increases the efficiency of clinical trials in secondary progressive multiple sclerosis. Multiple Sclerosis Journal, 17 (1). pp. 81-88. ISSN 1477-0970 doi: https://doi.org/10.1177/1352458510382129

Chromy, J.R. and Abeyasekera, S. (2005) Statistical analysis of survey data. In: Household Sample Surveys in Developing and Transition Countries. United Nations Publication ST/ESA/STAT/SER.F/96, pp. 388-417. ISBN 921114813

Coe, R. (2004) Analysis - aims and approaches. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford. ISBN 9780851997223

Coe, R. (2004) What is natural resources research? In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 3-11. ISBN 9780851997223

Coe, R. and Stern, R.D. (2004) Introduction to research planning. In: Stern, R.D. , Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 33-39. ISBN 9780851997223

Coe, R. and Stern, R.D. (2004) Surveying land and natural populations. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 107-116. ISBN 9780851997223

Coe, R., Abeyasekera, S. and Stern, R.D. (2004) The craftsman's toolbox. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Statistical Good Practice for Natural Resources Research. CAB International, Wallingford, pp. 299-335. ISBN 9780851997223

Coe, R., Franzel, S., Beniest, J. and Barahona, C., (2003) Designing participatory on-farm experiments. World Agroforestry Centre, Nairobi.

Coe, R., Stern, R.D. and Allan, E.F. (2002) Data analysis of agroforestry experiments. In: UNSPECIFIED ICRAF: World Agroforestry Centre, Nairobi.

Coe, R., Stern, R.D., Wilson, I.M., Abeyasekera, A. and Allan, E.F. (2004) The DIY toolbox - general ideas. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 219-246. ISBN 9780851997223

Coelho, C.A.S., Pezzulli, S., Balmaseda, M., Doblas-Reyes, F.J. and Stephenson, D.B. (2004) Forecast calibration and combination: a simple Bayesian approach for ENSO. Journal of Climate, 17 (7). pp. 1504-1516. ISSN 1520-0442

Coelho, C.A.S., Pezzulli, S., Balmaseda, M., Doblas-Reyes, F.J. and Stephenson, D.B., (2004) Skill of coupled model seasonal forecasts: a Bayesian assessment of ECMWF ENSO forecasts. ECMWF Technical Memorandum. ECMWF

Cohen, D. R., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Gregory, W. M. and Brown, J. M. (2015) Adding a treatment arm to an ongoing clinical trial: a review of methodology and practice. Trials, 16. 179. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-015-0697-y

Crow, R., Gage, H., Hampson, S., Hart, J., Kimber, A., Storey, L. and Thomas, H. (2003) The measurement of satisfaction with health care: implications for practice from a systematic review of the literature. Health Technology Assessment, 6 (32). 1- 244.

Curnow, R. N. (2006) Applied statistics at the University of Reading: the first forty years. University of Reading, pp52. ISBN 9780704911277

Curnow, R. N. (2005) Genetic biases in using "Mendelian randomisation" to compare transplantation with chemotherapy. In: Applied Statistics Technical Report 05/1. School of Biological Sciences, The University of Reading.

Curnow, R. N. and Ayres, K.L., (2006) Polymorphisms can be maintained by the interaction of maternal behaviour and competition between progeny. Applied Statistics Technical Report. University of Reading

Curnow, R. N. and Ayres, K. L. (2007) Population genetic models can be used to study the evolution of the interacting behaviours of parents and their progeny. Theoretical Population Biology, 72 (1). pp. 67-76. ISSN 0040-5809 doi: https://doi.org/10.1016/j.tpb.2006.12.002

D

Dark, R., Bolland, K. and Whitehead, J. (2003) Statistical methods for ordered categorical data based on a constrained odds model. Biometrical Journal, 45 (4). pp. 453-470. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.200390025

Derroire, G., Coe, R. and Healey, J. R. (2016) Isolated trees as nuclei of regeneration in tropical pastures: testing the importance of niche-based and landscape factors. Journal of Vegetation Science, 27 (4). pp. 679-691. ISSN 1654-1103 doi: https://doi.org/10.1111/jvs.12404

Didelot, X., Everitt, R. G., Johansen, A. M. and Lawson, D. J. (2011) Likelihood-free estimation of model evidence. Bayesian Analysis, 6 (1). pp. 49-76. ISSN 1931-6690 doi: https://doi.org/10.1214/11-BA602

Dimairo, M., Boote, J., Julious, S. A., Nicholl, J. P. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2015) Missing steps in a staircase: a qualitative study of the perspectives of key stakeholders on the use of adaptive designs in confirmatory trials. Trials, 16 (1). 430. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-015-0958-9

Dimairo, M., Julious, S. A., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Nicholl, J. P. and Boote, J. (2015) Cross-sector surveys assessing perceptions of key stakeholders towards barriers, concerns and facilitators to the appropriate use of adaptive designs in confirmatory trials. Trials, 16 (1). 585. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-015-1119-x

Dimairo, M., Pallmann, P., Wason, J., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Jaki, T., Julious, S., Mander, A., Weir, C., Koenig, F., Walton, M., Nicholl, J., Coates, E., Biggs, K., Hamasaki, T., Proschan, M., Scott, J., Ando, Y., Hind, D. and Altman, D. (2020) The adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. British Medical Journal, 369. m115. ISSN 1468-5833 doi: https://doi.org/10.1136/bmj.m115

Dimier, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2021) Assessment of the information theory approach to evaluating time-to-event surrogate and true endpoints in a meta-analytic setting. Pharmaceutical Statistics, 20 (2). pp. 335-347. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.2080

Dimier, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2017) An investigation into the two-stage meta-analytic copula modelling approach for evaluating time-to-event surrogate endpoints which comprise of one or more events of interest. Pharmaceutical Statistics, 16 (5). pp. 322-333. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.1812

de Haan, L., Klein Tank, A. and Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720 (2015) On tail trend detection: modeling relative risk. Extremes, 18 (2). pp. 141-178. ISSN 1572-915X doi: https://doi.org/10.1007/s10687-014-0207-8

E

El Houda Bouaicha, N. ORCID: https://orcid.org/0000-0001-6094-4909, Chighoub, F. and Pal Majumder, A. ORCID: https://orcid.org/0000-0001-6094-4909 (2025) Time-consistent consumption, investment, and proportional reinsurance in market models with Markovian regime switching. International Journal of Control. ISSN 0020-7179 doi: https://doi.org/10.1080/00207179.2025.2451705

Elliot, J.M., Virankabutra, T., Jones, S., Tanudsintum, S., Lipkin, G., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Bion, J. (2003) Erythropoietin mimics the acute phase response in critical illness. Clinical Care, 7. R35-R40. ISSN 1364-8535 doi: https://doi.org/10.1186/cc2185

Emmerson, J., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Brown, J. M. (2021) Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice. Trials, 22 (1). 417. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-021-05364-9

Everitt, R. and Glendinning, R. H. (2009) A statistical approach to the problem of restoring damaged and contaminated images. Pattern Recognition, 42 (1). pp. 115-125. ISSN 0031-3203 doi: https://doi.org/10.1016/j.patcog.2008.06.009

Everitt, R. G. (2008) Using the autocorrelation time and auto-validating methods to improve the performance of Monte Carlo algorithms. PhD thesis, University of Bristol.

Everitt, R. G. and Marrs, A. D. (2003) Hypothesis management in situation assessment. In: IEEE Aerospace Conference 2003, pp. 1895-1903. doi: https://doi.org/10.1109/AERO.2003.1235120

Everitt, R. G. (2012) Bayesian parameter estimation for latent Markov random fields and social networks. Journal of Computational and Graphical Statistics, 21 (4). pp. 940-960. ISSN 1061-8600 doi: https://doi.org/10.1080/10618600.2012.687493

Everitt, R. G. (2018) Efficient importance sampling in low dimensions using affine arithmetic. Computational Statistics, 33 (1). pp. 1-29. ISSN 1613-9658 doi: https://doi.org/10.1007/s00180-017-0729-z

Everitt, R. G., Andrieu, C. and Davy, M. (2013) Online bayesian inference in some time-frequency representations of non-stationary processes. IEEE Transactions on Signal Processing, 61 (22). pp. 5755-5766. ISSN 1053-587X doi: https://doi.org/10.1109/TSP.2013.2280128

Everitt, R. G., Didelot, X., Batty, E. M., Miller, R. R., Knox, K., Young, B. C., Bowden, R., Auton, A., Votintseva, A., Larner-Svensson, H., Charlesworth, J., Golubchik, T., Ip, C. L.C., Godwin, H., Fung, R., Peto, T. E.A., Walker, A. S., Crook, D. W. and Wilson, D. J. (2014) Mobile elements drive recombination hotspots in the core genome of Staphylococcus aureus. Nature Communications, 5. 3956. ISSN 2041-1723 doi: https://doi.org/10.1038/ncomms4956

Everitt, R. G., Johansen, A. M., Rowing, E. and Evdemon-Hogan, M. (2017) Bayesian model comparison with un-normalised likelihoods. Statistics and Computing, 27 (2). pp. 403-422. ISSN 1573-1375 doi: https://doi.org/10.1007/s11222-016-9629-2

F

Fa, J.E., Burn, R.W., Stanley Price, M.R. and Underwood, F.M. (2004) Identifying important endemic areas using ecoregions: birds and mammals in the Indo-Pacific. Oryx, 38 (1). pp. 91-101. ISSN 0030-6053 doi: https://doi.org/10.1017/S0030605304000146

Ficchi, A., Cloke, H. ORCID: https://orcid.org/0000-0002-1472-868X, Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720, Woolnough, S. ORCID: https://orcid.org/0000-0003-0500-8514, Coughlan de Perez, E., Zsoter, E., Pinto, I., Meque, A. and Stephens, E. ORCID: https://orcid.org/0000-0002-5439-7563 (2021) Beyond El Niño: unsung climate modes drive African floods. Weather and Climate Extremes, 33. 100345. ISSN 2212-0947 doi: https://doi.org/10.1016/j.wace.2021.100345

Flight, L., Julious, S., Brennan, A. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2022) Expected value of sample information to guide the design of group sequential clinical trials. Medical Decision Making, 42 (4). pp. 461-473. ISSN 1552-681X doi: https://doi.org/10.1177/0272989X211045036

Flight, L., Julious, S., Brennan, A., Todd, S. T. ORCID: https://orcid.org/0000-0002-9981-923X and Hind, D. (2020) How can health economics be used in the design and analysis of adaptive clinical trials? A qualitative analysis. Trials, 21. 252. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-020-4137-2

Formann, A. K. and Böhning, D. (2008) Untitled: letter to the editor. Biostatistics, 9 (4). pp. 777-778. ISSN 1465-4644 doi: https://doi.org/10.1093/biostatistics/kxn026

Fraga Alves, I. and Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720 (2014) Estimation of the finite right endpoint in the Gumbel domain. Statistica Sinica, 24. pp. 1811-1835. ISSN 1017-0405 doi: https://doi.org/10.5705/ss.2013.183

Friede, T., Nicholas, R., Stallard, N., Todd, S. C. ORCID: https://orcid.org/0000-0002-9981-923X, Parsons, N., Valdes-Marquez, E. and Chataway, J. (2010) Refinement of the Clinical Scenario Evaluation Framework for Assessment of Competing Development Strategies with an Application to Multiple Sclerosis. Drug Information Journal, 44 (6). pp. 713-718. ISSN 0092-8615

Friede, T., Parsons, N., Stallard, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Valdes Marquez, E., Chataway, J. and Nicholas, R. (2011) Designing a seamless phase II/III clinical trial using early outcomes for treatment selection: an application in multiple sclerosis. Statistics in Medicine, 30 (13). pp. 1528-1540. ISSN 1097-0258 doi: https://doi.org/10.1002/sim.4202

G

Galab, S., Antony, P., Wilson, I.M., Jones, N., McCoy, A., Raju, D.S.R. and Reddy, P.P., (2006) Exploring linkages between maternal social capital and children's nutritional status in Andhra Pradesh. Young Lives Project. 32. Working Paper. Young Lives (Save the Children) doi: 1904427332

Gallagher, J. (2006) The F test for comparing two normal variances: correct and incorrect calculation of the two-sided p-value? Teaching Statistics, 28 (2). pp. 58-60. ISSN 0141-982X doi: https://doi.org/10.1111/j.1467-9639.2006.00244.x

Garlick, C.A. (2004) The role of a database package. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 167-186. ISBN 9780851997223

Garlick, C.A. and Stern, R.D. (2004) Use of spreadsheet packages. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 151-166. ISBN 9780851997223

Garlick, C.A., Stern, R.D. and Muraya, P. (2004) Data management issues and problems. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Practice for Natural Resources Research. CAB International, Wallingford, pp. 133-150. ISBN 9780851997223

Golubchik, T., Batty, E. M., Miller, R. R., Farr, H., Young, B. C., Larner-Svensson, H., Fung, R., Godwin, H., Knox, K., Votintseva, A., Everitt, R. G., Street, T., Cule, M., Ip, C. L. C., Didelot, X., Peto, T. E. A., Harding, R. M., Wilson, D. J., Crook, D. W. and Bowden, R. (2013) Within-host evolution of Staphylococcus aureus during asymptomatic carriage. PLoS ONE, 8 (5). e61319. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0061319

Gordon, N. C., Price, J. R., Cole, K., Everitt, R. G., Morgan, M., Finney, J., Kearns, A. M., Pichon, B., Young, B., Wilson, D. J., Llewelyn, M. J., Paul, J., Peto, T. E. A., Crook, D. W., Walker, A. S. and Golubchik, T. (2014) Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing. Journal of Clinical Microbiology, 52 (4). pp. 1182-1191. ISSN 0095-1137 doi: https://doi.org/10.1128/JCM.03117-13

H

Hahn, S. and Whitehead, A. (2003) An illustration of the modelling of cost and efficacy data from a clinical trial. Statistics in Medicine, 22 (6). pp. 1009-1024. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1459

Halls, A.S., Welcomme, R.L. and Burn, R.W. (2006) The relationship between multi-species catch and effort: among fishery comparisons. Fisheries Research, 77 (1). pp. 78-83. ISSN 0165-7836 doi: https://doi.org/10.1016/j.fishres.2005.08.005

Harpham, T., De Silva, M., Jones, N. and Garlick, C., (2006) Maternal social capital and child wellbeing in comparative perspective. Young Lives: An International Study of Childhood Poverty. 31. Working Paper. Young Lives (Save the Children)

Harpham, T., Huttly, S., Wilson, I.M. and de Wet, T. (2003) Linking public issues with private troubles: panel studies in developing countries. Journal of International Development, 15 (3). pp. 353-363. ISSN 0954-1748 doi: https://doi.org/10.1002/jid.988

Harpham, T., Wilson, I.M. and Huttly, S.R.A. (2005) Young lives: panel studies and child poverty. In: Hamdi, N. (ed.) Urban Futures: Economic Growth and Poverty Reduction. ITDG Publishing, pp. 31-38. ISBN 185339 5994

Hayman, A., (2009) Evaluating and improving familial searching in DNA databases. Applied Statistics Technical Report. 2/09. University of Reading

Henderson, J.S. and Burn, R.W. (2004) Uptake pathways: the potential of Bayesian belief networks to assist the management, monitoring and evaluation of development-orientated research. Agricultural Systems, 79 (1). pp. 3-15. ISSN 0308-521X doi: https://doi.org/10.1016/S0308-521X(03)00042-8

Hogarth, D.D., Abeyasekera, S., Arthur, R.I., J.R., B., Burn, R.W., Halls, A.S., Kirkwood, G.P., McAllister, M., Medley, P., Meeds, C.C., Parkes, G.B., Pilling, G.M., Wakeford, R.C. and Welcomme, R.L., (2006) Stock assessment for fishery management - A framework guide to the stock assessment tools of the Fisheries Management Science Programme (FMSP). FAO Fisheries Technical Paper 487. Food and Agriculture Organization of the United Nations, Rome.

Howard, D. R., Brown, J. M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Gregory, W. M. (2018) Recommendations on multiple testing adjustment in multi-arm trials with a shared control group. Statistical Methods in Medical Research, 27 (5). pp. 1513-1530. ISSN 0962-2802 doi: https://doi.org/10.1177/0962280216664759

Howard, D. R., Hockaday, A., Brown, J. M., Gregory, W. M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Munir, T., Oughton, J. B., Dimbleby, C. and Hillmen, P. (2021) A platform trial in practice: adding a new experimental research arm to the ongoing confirmatory FLAIR trial in chronic lymphocytic leukaemia. Trials, 22 (1). 38. ISSN 1745-6215 doi: https://doi.org/10.1186/s13063-020-04971-2

Hwong, Y. L., Song, S., Sherwood, S. C., Stirling, A. J., Rio, C., Roehrig, R., Daleu, C. L. ORCID: https://orcid.org/0000-0003-2075-4902, Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, Fuchs, D., Maher, P. and Touzé-Peiffer, L. (2021) Characterizing convection schemes using their responses to imposed tendency perturbations. Journal of Advances in Modeling Earth Systems, 13 (5). e2021MS002461. ISSN 1942-2466 doi: https://doi.org/10.1029/2021MS002461

I

Israelsson, J. ORCID: https://orcid.org/0000-0001-6181-1702, Black, E. ORCID: https://orcid.org/0000-0003-1344-6186, Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720, Torgbor, F. F., Greatrex, H., Tanu, M. and Lamptey, P. N. L. (2020) The spatial correlation structure of rainfall at the local scale over southern Ghana. Journal of Hydrology: Regional Studies, 31. 100720. ISSN 2214-5818 doi: https://doi.org/10.1016/j.ejrh.2020.100720

J

Jacob, M., Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720 and Vukadinovic Greetham, D. (2020) Forecasting and assessing risk of individual electricity peaks. Mathematics of Planet Earth, SpringerBriefs in Mathematics of Planet Earth. Springer, Cham, pp108.

James, G., Zhou, Y. and Miller, S. (2011) Modeling data with structural and temporal correlation using lower level and higher level multilevel models. Pharmaceutical Statistics, 10 (5). pp. 395-406. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.479

Jobling, S., Burn, R. W., Thorpe, K., Williams, R. and Tyler, C. (2009) Statistical modeling suggests that antiandrogens in effluents from wastewater treatment works contribute to widespread sexual disruption in fish living in English rivers. Environmental Health Perspectives, 117 (5). pp. 797-802. ISSN 0091-6765 doi: https://doi.org/10.1289/ehp.0800197

Johnson, C. D., Puntis, M., Davidson, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Bryce, R. (2001) Randomized, dose-finding phase III study of lithium gamolenate in patients with advanced pancreatic adenocarcinoma. British Journal of Surgery, 88 (5). pp. 662-668. ISSN 0007-1323 doi: https://doi.org/10.1046/j.0007-1323.2001.01770.x

K

Kelly, P., Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, (2003) An adaptive group sequential design for clinical trials that involve treatment selection. Applied Statistics Technical Report. 03/1. The University of Reading

Kelly, P., Stallard, N., Zhou, Y., Whitehead, J. and Bowman, C. (2006) Sequential genome-wide association studies for monitoring adverse events in the clinical evaluation of new drugs. Statistics in Medicine, 25 (18). pp. 3081-3092. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2499

Kelly, P., Zhou, Y., Whitehead, J., Stallard, N. and Bowman, C. (2008) Sequentially testing for a gene-drug interaction in a genomewide analysis. Statistics in Medicine, 27 (11). pp. 2022-2034. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.3059

Kelly, P.J. (2004) A review of software packages for analyzing correlated survival data. American Statistician, 58 (4). pp. 337-342. ISSN 0003-1305 doi: https://doi.org/10.1198/000313004X5419

Kelly, P.J., Sooriyarachchi, M.R., Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2005) A practical comparison of group-sequential and adaptive designs. Journal of Biopharmaceutical Statistics, 15 (4). pp. 719-738. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-200062859

Kelly, P.J., Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2005) An adaptive group sequential design for phase II/III clinical trials that select a single treatment from several. Journal of Biopharmaceutical Statistics, 15 (4). pp. 641-658. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-200062857

Kelly, P.J., Stallard, N. and Whittaker, J.C. (2005) Statistical design and analysis of pharmacogenetic trials. Statistics in Medicine, 24 (10). pp. 1495-1508. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2052

Kimani, P. K., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2013) Conditionally unbiased estimation in phase II/III clinical trials with early stopping for futility. Statistics in Medicine, 32 (17). pp. 2893-2910. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.5757

Kimani, P. K., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2015) Estimation after subpopulation selection in adaptive seamless trials. Statistics in Medicine, 34 (18). pp. 2581-2601. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.6506

Kimani, P. K., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Renfro, L. A. and Stallard, N. (2018) Point estimation following two-stage adaptive threshold enrichment clinical trials. Statistics in Medicine, 37 (22). pp. 3179-3196. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.7831

Kimani, P. K., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Renfro, L. A., Glimm, E., Khan, J. N., Kairalla, J. A. and Stallard, N. (2020) Point and interval estimation in two-stage adaptive designs with time to event data and biomarker-driven subpopulation selection. Statistics in Medicine, 39 (19). pp. 2568-2586. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.8557

Kimani, P., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2014) A comparison of methods for constructing confidence intervals after phase II/III clinical trials. Biometrical Journal, 56 (1). pp. 107-128. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.201300036

Kirdwichai, P. and Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815 (2019) The analysis of genomewide SNP data using nonparametric and kernel machine regression. The Journal of Applied Science, 18 (1). pp. 20-30. ISSN 2586-9663 doi: https://doi.org/10.14416/j.appsci.2019.02.003

Konzen, E., Neves, C. ORCID: https://orcid.org/0000-0003-1201-5720 and Jonathan, P. (2021) Modeling nonstationary extremes of storm severity: comparing parametric and semiparametric inference. Environmetrics, 32 (4). e2667. ISSN 1099-095X doi: https://doi.org/10.1002/env.2667

Kose, T., Orman, M., Ikiz, F., Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Gallagher, J. and Bohning, D. (2014) Extending the Lincoln–Petersen estimator for multiple identifications in one source. Statistics in Medicine, 33 (24). pp. 4237-4249. ISSN 1097-0258 doi: https://doi.org/10.1002/sim.6208

Kuhnert, R. and Böhning, D. (2009) CAMCR: Computer assisted mixture model analysis for capture-recapture count data. AStA Advances in Statistical Analysis, 93 (1). pp. 61-71. ISSN 1863-8171 doi: https://doi.org/10.1007/s10182-008-0092-z

Kuhnert, R. and Böhning, D. (2009) CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data. AStA Advances in Statistical Analysis, 93 (1). pp. 61-71. ISSN 1863-8171 doi: https://doi.org/10.1007/s10182-008-0092-z

Kuhnert, R. and Böhning, D. A. W. (2007) A comparison of three different models for estimating relative risk in meta-analysis of clinical trials under unobserved heterogeneity. Statistics in Medicine, 26 (11). pp. 2277-2296. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2710

Kuhnert, R., Del Rio Vilas, V., Gallagher, J. and Boehning, D. (2008) A bagging-based correction for the mixture model estimator of population size. Biometrical Journal, 50 (6). pp. 993-1005. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.200810485

Kunz, C. U., Friede, T., Parsons, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2014) Data-driven treatment selection for seamless phase II/III trials incorporating early-outcome data. Pharmaceutical Statistics, 13 (4). pp. 238-246. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.1619

Kunz, C. U., Friede, T., Parsons, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2015) A comparison of methods for treatment selection in seamless phase II/III clinical trials incorporating information on short-term endpoints. Journal of Biopharmaceutical Statistics, 25 (1). pp. 170-189. ISSN 1054-3406 doi: https://doi.org/10.1080/10543406.2013.840646

Kunz, C. U., Stallard, N., Parsons, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Friede, T. (2017) Blinded versus unblinded estimation of a correlation coefficient to inform interim design adaptations. Biometrical Journal, 59 (2). pp. 344-357. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.201500233

L

Levy, S., Barahona, C. and Chinsinga, B., (2004) Food security, social protection, growth and poverty reduction synergies: the Starter Pack Programme in Malawi. ODI Natural Resource Perspectives. 95. DFID

López , J. and Dennett, M.D. (2007) Water use estimation for onion (Allium cepa L.) crop under Quíbor conditions, Lara State, Venezuela. Bioagro, 19 (3). pp. 127-132. ISSN 1316-3316

M

Maskell, S. R., Everitt, R. G., Wright, R. and Briers, M. (2004) Multi-target out-of-sequence data association. In: Proceedings of the Seventh International Conference on Information Fusion.

Maskell, S. R., Everitt, R. G., Wright, R. and Briers, M. (2006) Multi-target out-of-sequence data association: tracking using graphical models. Information Fusion, 7 (4). pp. 434-447. ISSN 15662535 doi: https://doi.org/10.1016/j.inffus.2005.07.001

Matcham, J., Julious, S., Pyke, S., O'Kelly, M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Seldrup, J. and Day, S. (2011) Proposed best practice for statisticians in the reporting and publication of pharmaceutical industry-sponsored clinical trials. Pharmaceutical Statistics, 10 (1). pp. 70-73. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.417

Mead, R. and Stern, R.D. (2004) At least read this …. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 13-20. ISBN 9780851997223

Milliken, T. , Burn, R. W., Underwood, F. M. and Sangalakula, L. (2004) The Elephant Trade Information System (ETIS) and the illicit trade in ivory. In: Proceedings of the Conference of the Parties to CITES (UNEP), Bangkok.

Muraya, P., Garlick, C. and Coe, R., (2003) Research data management. World Agroforestry Centre

Muraya, P., Garlick, C.A. and Coe, R. (2004) Developing a data management strategy. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Statistical Good Practice for Natural Resources Research. CAB International, Wallingford, pp. 187-196. ISBN 9780851997223

N

Navaratna, W. C. W., Del Rio Vilas, V. and Böhning, D. (2008) Extending Zelterman’s approach for robust estimation of population size to zero-truncated clustered data. Biometrical Journal, 50 (4). pp. 584-596. ISSN 0323-3847 doi: https://doi.org/10.1002/bimj.200710441

Neuman, B. W., Kiss, G., Kunding, A. H., Bhella, D., Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Connelly, S., Droese, B., Klaus, J. P., Makino, S., Sawicki, S. G., Siddell, S. G., Stamou, D. G., Wilson, I. A., Kuhn, P. and Buchmeier, M. J. (2011) A structural analysis of M protein in coronavirus assembly and morphology. Journal of Structural Biology, 174 (1). pp. 11-22. ISSN 1047-8477 doi: https://doi.org/10.1016/j.jsb.2010.11.021

Ngoh, S., Pal Majumder, A. ORCID: https://orcid.org/0000-0001-6094-4909 and Lingjie, D. (2024) Robust clustered federated learning against malicious agents. In: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), June 24−June 27th , 2024, Singapore. (In Press)

O

O'Kelly, M., Julious, S. A., Pyke, S., Day, S., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Seldrup, J. and Matcham, J. (2011) Making available information from studies sponsored by the pharmaceutical industry: some current practices. Pharmaceutical Statistics, 10 (1). pp. 60-69. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.430

Oliver, D., Connelly, J. B., Victor, C. R., Shaw, F. E., Whitehead, A., Genc, Y., Vanoli, A., Martin, F. C. and Gosney, M. A. (2007) Strategies to prevent falls and fractures in hospitals and care homes and effect of cognitive impairment: systematic review and meta-analyses. BMJ, 334 (7584). p. 82. ISSN 0959-8138 doi: https://doi.org/10.1136/bmj.39049.706493.55

Owusu-Ansah, F., Curnow, R.N. and Adu-Ampomah, Y. (2013) Optimal planning of cocoa clonal selection programmes. Experimental Agriculture, 49 (4). pp. 574-584. ISSN 0014-4797 doi: https://doi.org/10.1017/S0014479713000239

P

Parsons, N., Friede, T., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Marquez, E. V., Chataway, J., Nicholas, R. and Stallard, N. (2012) An R package for implementing simulations for seamless phase II/III clinical trials using early outcomes for treatment selection. Computational Statistics & Data Analysis, 56 (5). pp. 1150-1160. ISSN 0167-9473 doi: https://doi.org/10.1016/j.csda.2010.10.027

Perkins, G.D., Barrett, H., Bullock, I. , Gabbott, D.A., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Bion, J.F. (2005) The Acute Care Undergraduate TEaching (ACUTE) initiative: consensus development of core competencies in acute care for undergraduates in the United Kingdom. Intensive Care Medicine, 31 (12). pp. 1627-1633. ISSN 0342-4642 doi: https://doi.org/10.1007/s00134-005-2837-4

Prangle, D., Everitt, R. G. and Kypraios, T. (2018) A rare event approach to high-dimensional Approximate Bayesian computation. Statistics and Computing, 28 (4). pp. 819-834. ISSN 1573-1375 doi: https://doi.org/10.1007/s11222-017-9764-4

Pukdee, W., Polsen, O. and Baksh, F. ORCID: https://orcid.org/0000-0003-3107-8815 (2020) A modified two-stage method for parameter estimation in sinusoidal models of correlated gene expression profiles. Thailand Statistician, 18 (1). pp. 77-89. ISSN 2351-0676

Pyke, S., Julious, S. A., Day, S., O'Kelly, M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Matcham, J. and Seldrup, J. (2011) The potential for bias in reporting of industry-sponsored clinical trials. Pharmaceutical Statistics, 10 (1). pp. 74-79. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.429

Q

Quinlivan, M. L., Ayres, K., Ran, H., McElwaine, S., Leedham-Green, M., Scott, F. T., Johnson, R. W. and Breuer, J. (2007) Effect of viral load on the outcome of herpes zoster. Journal of Clinical Microbiology, 45 (12). pp. 3909-3914. ISSN 0095-1137 doi: https://doi.org/10.1128/jcm.00874-07

R

Rogers, M. S., Chang, A. M. Z. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2005) Using group-sequential analysis to achieve the optimal sample size. Bjog-an International Journal of Obstetrics and Gynaecology, 112 (5). pp. 529-533. ISSN 1470-0328 doi: https://doi.org/10.1111/j.1471-0528.2005.00479.x

S

Sarker, S.J., Crossman, A. and Chinmeteepituck, P. (2003) The relationships of age and length of service with job satisfaction: an examination of hotel employees in Thailand. Journal of Managerial Psychology, 18 (7). pp. 745-758. ISSN 0268-3946

Senapathi, D. ORCID: https://orcid.org/0000-0002-8883-1583, Underwood, F. M., Black, E. C. L. ORCID: https://orcid.org/0000-0003-1344-6186, Nicoll, M. A. C. and Norris, K. J. (2010) Evidence for long-term regional changes in precipitation on the East Coast Mountains in Mauritius. International Journal of Climatology, 30 (8). pp. 1164-1177. ISSN 0899-8418 doi: https://doi.org/10.1002/joc.1953

Sherington, J., Stern, R.D., Allan, E.F., Wilson, I.M. and Coe, R. (2004) Informative presentation of tables, graphs and statistics. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Statistical Good Practice for Natural Resources Research. CAB International, Wallingford. ISBN 9780851997223

Simmonds, M.C., Higgins, J.P.T., Stewart, L.A., Tierney, J.F., Clarke, M.J. and Thompson, S.G. (2005) Meta-analysis of individual patient data from randomised trials: a review of methods used in practice. Clinical Trials, 2 (3). pp. 209-217. ISSN 1740-7745 doi: https://doi.org/10.1191/1740774505cn087oa

Siqueira, A. L., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, A. (2015) Sample size considerations in active-control non-inferiority trials with binary data based on the odds ratio. Statistical Methods in Medical Research, 24 (4). pp. 453-461. ISSN 0962-2802 doi: https://doi.org/10.1177/0962280214520729

Siqueira, A., Whitehead, A., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Lucini, M. (2005) Comparison of sample size formulae for 2x2 cross-over designs applied to bioequivalence studies. Pharmaceutical Statistics, 4 (4). pp. 233-243. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.183

Siqueira, A.L., Whitehead, A. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2008) Active-control trials with binary data: a comparison of methods for testing superiority or non-inferiority using the odds ratio. Statistics in Medicine, 27 (3). pp. 353-370. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2975

Siqueira, A.L., Whitehead, A., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Lucini, M.M., (2004) On sample size calculations for 2x2 cross-over designs applied to bioequivalence studies. Applied Statistics Technical Report. 04/4. The University of Reading

Sookkhee, S., Kirdwichai, P. and Baksh, F. ORCID: https://orcid.org/0000-0003-3107-8815 (2021) The optimal parameters of spline regression for SNP-set analysis in genome-wide association study. Science & Technology Asia, 26 (1). pp. 39-52. ISSN 2586-9027 doi: https://doi.org/10.14456/scitechasia.2021.5

Sookkhee, S., Kirdwichai, P. and Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815 (2021) The efficiency of single SNP and SNP-set analysis in genome-wide association studies. Songklanakarin Journal of Science and Technology, 43 (1). pp. 243-251. ISSN 0125-3395 doi: https://doi.org/10.14456/sjst-psu.2021.32

Sooriyarachchi, M.R., Whitehead, J., Matsushita, T., Bolland, K. and Whitehead, A. (2003) Incorporating data received after a sequential trial has stopped into the final analysis: implementation and comparison of methods. Biometrics, 59 (3). pp. 701-709. ISSN 0006-341X doi: https://doi.org/10.1111/1541-0420.00081

Sooriyarachchi, M.R., Whitehead, J., Whitehead, A. and Bolland, K. (2006) The sequential analysis of repeated binary responses: a score test for the case of three time points. Statistics in Medicine, 25 (13). pp. 2196-2214. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2339

Stallard, N. (2005) Decision theory. In: Everitt, B. and Palmer, C. (eds.) Encyclopaedic Companion to Medical Statistics. Hodder. ISBN 9780470689301

Stallard, N. (2003) Decision-theoretic designs for phase II clinical trials allowing for competing studies. Biometrics, 59 (2). pp. 402-409. ISSN 0006-341X doi: https://doi.org/10.1111/1541-0420.00047

Stallard, N. (2005) Sequential analysis. In: Everitt, B. and Palmer, C. (eds.) Encyclopaedic Companion to Medical Statistics. Hodder Arnold. ISBN 9780340809990

Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2005) Point estimates and confidence regions for sequential trials involving selection. Journal of Statistical Planning and Inference, 135 (1). pp. 402-419. ISSN 0378-3758 doi: https://doi.org/10.1016/j.jspi.2004.05.006

Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2003) Sequential designs for phase III clinical trials incorporating treatment selection. Statistics in Medicine, 22 (5). pp. 689-703. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1362

Stallard, N. and Tombs, L. (2004) Including a time-of-year effect in the analysis of a matched case-control study. Statistics in Medicine, 23 (20). pp. 3193-3207. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1884

Stallard, N. and Whitehead, A. (2004) A statistical evaluation of the fixed dose procedure. Human & Experimental Toxicology, 21 (4). 183-196 . ISSN 0960-3271 doi: https://doi.org/10.1191/0960327102ht239oa

Stallard, N. and Todd, S. (2009) Monitoring. In: Gad, S. C. (ed.) Clinical Trials Handbook. Wiley, pp. 1019-1041. ISBN 9780471213888

Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2000) Exact sequential tests for single samples of discrete responses using spending functions. Statistics in Medicine, 19 (22). pp. 3051-3064. ISSN 0277-6715 doi: https://doi.org/10.1002/1097-0258(20001130)19:22<3051::AID-SIM604>3.0.CO;2-E

Stallard, N. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2011) Seamless phase II/III designs. Statistical Methods in Medical Research, 20 (6). pp. 623-634. ISSN 0962-2802 doi: https://doi.org/10.1177/0962280210379035

Stallard, N., Gravenor, M.B. and Curnow, R. N. (2006) Estimating numbers of infectious units from serial dilution assays. Applied Statistics, 55 (1). pp. 15-30. ISSN 0964-1998 doi: https://doi.org/10.1111/j.1467-9876.2005.00517.x

Stallard, N., Kunz, C. U., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Parsons, N. and Friede, T. (2015) Flexible selection of a single treatment incorporating short-term endpoint information in a phase II/III clinical trial. Statistics in Medicine, 34 (23). pp. 3104-3115. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.6567

Stallard, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, J. (2008) Estimation following selection of the largest of two normal means. Journal of Statistical Planning and Inference, 138 (6). pp. 1629-1638. ISSN 0378-3758 doi: https://doi.org/10.1016/j.jspi.2007.05.045

Stallard, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Parashar, D., Kimani, P. K. and Renfro, L. A. (2019) On the need to adjust for multiplicity in confirmatory clinical trials with master protocols. Annals of Oncology, 30 (4). pp. 506-509. ISSN 1569-8041 doi: https://doi.org/10.1093/annonc/mdz038

Stallard, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Ryan, E. G. and Gates, S. (2020) Comparison of Bayesian and frequentist group-sequential clinical trial designs. BMC Medical Research Methodology, 20 (1). ISSN 1471-2288 doi: https://doi.org/10.1186/s12874-019-0892-8

Stallard, N., Whitehead, A. and Indans, I. (2004) Statistical evaluation of an acute dermal toxicity test using the dermal fixed dose procedure. Human & Experimental Toxicology, 23 (8). pp. 405-412. ISSN 0960-3271 doi: https://doi.org/10.1191/0960327104ht465oa

Stallard, N., Whitehead, A. and Indans, I. (2003) Statistical evaluation of the fixed concentration procedure for acute inhalation toxicity assessment. Human & Experimental Toxicology, 22 (11). pp. 575-585. ISSN 0960-3271 doi: https://doi.org/10.1191/0960327103ht395oa

Stallard, N., Whitehead, J. and Cleall, S. (2005) Decision-making in a phase II clinical trial: a new approach combining Bayesian and frequentist concepts. Pharmaceutical Statistics, 4 (2). pp. 119-128. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.164

Stallard, N., Whitehead, J., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, A. (2001) Stopping rules for phase II studies. British Journal of Clinical Pharmacology, 51 (6). pp. 523-529. ISSN 0306-5251 doi: https://doi.org/10.1046/j.0306-5251.2001.01381.x

Stern, R.D. and Coe, R. (2004) Current trends and their implications for good practice. In: Stern, R.D. , Coe, R., Allan, E.F. and Dale, I.C. (eds.) Statistical Good Practice for Natural Resources Research. CAB International, Wallingford, pp. 355-363. ISBN 9780851997223

Stern, R.D. and Coe, R. (2004) Sidetracks. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 21-30. ISBN 9780851997223

Stern, R.D., Abeyasekera, S., Coe, R. and Allan, E.F. (2004) Concepts underlying experiments. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Statistical Good Practice for Natural Resources Research. CAB International, Wallingford, pp. 41-64. ISBN 9780851997223

Stern, R.D., Allan, E.F. and Coe, R. (2004) Analysis of experimental data. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 265-282. ISBN 9780851997223

Stern, R.D., Allan, E.F. and Coe, R. (2004) Planning effective experiments. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 117-130. ISBN 9780851997223

Stern, R.D., Coe, R. and Allan, E.F. (2004) Use of statistical software. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 197-202. ISBN 9780851997223

Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (2004) Good statistical practice for natural resources research. CAB International Publishing, Wallingford, pp416. ISBN 9780851997223

Stevely, A., Dimairo, M., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Julious, S. A., Nicholl, J., Hind, D. and Cooper, C. L. (2015) An investigation of the shortcomings of the CONSORT 2010 statement for the reporting of group sequential randomised controlled trials: a methodological systematic review. PLoS ONE, 10 (11). e0141104. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0141104

Stoutenbeek, C.P., Van Saene, H.K.F., Little, R.A. and Whitehead, A. (2006) The effect of selective decontamination of the digestive tract on mortality in multiple trauma patients: a multicenter randomized controlled trial. Intensive Care Medicine , 33 (2). 261-270 . ISSN 0342-4642 doi: https://doi.org/10.1007/s00134-006-0455-4

Sultana, P., Abeyasekera, S. and Thompson, P. (2007) Methodological rigour in assessing participatory development. Agricultural Systems, 94 (2). pp. 220-230. ISSN 0308-521X doi: https://doi.org/10.1016/j.agsy.2006.08.009

Swinnerton, K.J., Groombridge, J.J., Jones, C.G., Burn, R.W. and Mungroo, Y. (2004) Inbreeding depression and founder diversity among captive and free-living populations of the endangered pink pigeon Columba mayeri. Animal Conservation, 7 (4). pp. 353-364. ISSN 1367-9430 doi: https://doi.org/10.1017/S1367943004001556

T

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Stallard, N. (2005) A new clinical trial design combining phases II and III: sequential designs with treatment selection and a change of endpoint. Drug Information Journal, 39. pp. 109-118. ISSN 0092-8615

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2007) A 25-year review of sequential methodology in clinical studies. Stat Med, 26 (2). pp. 237-52. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2763

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (1997) Incorporation of sequential trials into a fixed effects meta-analysis. Statistics in Medicine, 16 (24). pp. 2915-2925. ISSN 0277-6715 doi: https://doi.org/10.1002/(SICI)1097-0258(19971230)16:24<2915::AID-SIM688>3.0.CO;2-0

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (1999) Sequential designs for monitoring Two Endpoints in a clinical trial. Therapeutic Innovation & Regulatory Science, 33 (2). pp. 417-426. ISSN 2168-4790 doi: https://doi.org/10.1177/009286159903300213

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2003) An adaptive approach to implementing bivariate group sequential clinical trial designs. Journal of Biopharmaceutical Statistics, 13 (4). pp. 605-619. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-120024197

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Sahdra, M. (2001) A case study of the effect of covariate adjustment in a sequential survival clinical trial. Journal of Biopharmaceutical Statistics, 11 (4). pp. 297-311. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-120008850

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, J. (1997) Confidence interval calculation for a sequential clinical trial of binary responses. Biometrika. ISSN 0006-3444

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815 and Whitehead, J. (2012) Sequential methods for pharmacogenetic studies. Computational Statistics & Data Analysis, 56 (5). pp. 1221-1231. ISSN 0167-9473 doi: https://doi.org/10.1016/j.csda.2011.02.019

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Valdes-Marquez, E. and West, J. (2012) A practical comparison of blinded methods for sample size reviews in survival data clinical trials. Pharmaceutical Statistics, 11 (2). pp. 141-148. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.516

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Whitehead, A., Stallard, N. and Whitehead, J. (2001) Interim analyses and sequential designs in phase III studies. British Journal of Clinical Pharmacology, 51 (5). pp. 394-399. ISSN 0306-5251 doi: https://doi.org/10.1046/j.1365-2125.2001.01382.x

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Whitehead, J. and Facey, K. (1996) Point and interval estimation following a sequential clinical trial. Biometrika. ISSN 0006-3444

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Woodward, M. and Bolton-Smith, C. (1995) An investigation of the relationship between antioxidant vitamin intake and coronary heart disease in men and women using logistic regression analysis. Journal of Clinical Epidemiology, 48 (2). pp. 307-316. ISSN 08954356 doi: https://doi.org/10.1016/0895-4356(94)00178-S

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Woodward, M., Bolton-Smith, C. and Tunstall-Pedoe, H. (1995) An investigation of the relationship between antioxidant vitamin intake and coronary heart disease in men and women using discriminant analysis. Journal of Clinical Epidemiology, 48 (2). pp. 297-305. ISSN 08954356 doi: https://doi.org/10.1016/0895-4356(94)00177-R

Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Woodward, M., Tunstall-Pedoe, H. and Bolton-Smith, C. (1999) Dietary Antioxidant vitamins and Fiber in the Etiology of Cardiovascular Disease and All-Causes Mortality: Results from the Scottish Heart Health Study. American Journal of Epidemiology, 150 (10). pp. 1073-1080. ISSN 0002-9262 doi: https://doi.org/10.1093/oxfordjournals.aje.a009931

U

Underwood, F. M. (2009) Describing long-term trends in precipitation using generalized additive models. Journal of Hydrology, 364 (3-4). pp. 285-297. ISSN 0022-1694 doi: https://doi.org/10.1016/j.jhydrol.2008.11.003

V

Vaiyapuri, S. ORCID: https://orcid.org/0000-0002-6006-6517, Vaiyapuri, R., Ashokan, R., Ramasamy, K., Nattamaisundar, K., Jeyaraj, A., Chandran, V., Gajjeraman, P., Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815, Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 and Hutchinson, E. G. (2013) Snakebite and its socio-economic impact on the rural population of Tamil Nadu, India. PLoS ONE, 8 (11). e80090. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0080090

Velasquez, E., Lavelle, P. and Andrade, M. (2007) GISQ, a multifunctional indicator of soil quality. Soil Biology & Biochemistry, 39 (12). pp. 3066-3080. ISSN 0038-0717 doi: https://doi.org/10.1016/j.soilbio.2007.06.013

Verzilli, C.J., Whittaker, J.C., Stallard, N. and Chasman, D. (2005) A hierarchical Bayesian model for predicting the functional consequences of amino-acid polymorphisms. Applied Statistics, 54 (1). pp. 191-206. ISSN 0266-4763 doi: https://doi.org/10.1111/j.1467-9876.2005.00478.x

Vilas, V. J. D. and Böhning, D. (2008) Application of one-list capture-recapture models to scrapie surveillance data in Great Britain. Preventive Veterinary Medicine, 85 (3-4). pp. 253-266. ISSN 0167-5877 doi: https://doi.org/10.1016/j.prevetmed.2008.02.003

Vilas, V., Böhning, D. and Kuhnert, R. (2008) A comparison of the active surveillance of scrapie in the European Union. Veterinary Research, 39 (3). p. 15. ISSN 0928-4249 doi: https://doi.org/10.1051/vetres:2008014

Vincent, E., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, J. (2002) A sequential procedure for comparing two experimental treatments with a control. Journal of Biopharmaceutical Statistics, 12 (2). pp. 249-265. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-120015747

von der Heydt, A. S., Dijkstra, H. A., van de Wal, R. S. W., Caballero, R., Crucifix, M., Foster, G. L., Huber, M., Köhler, P., Rohling, E., Valdes, P. J., Ashwin, P., Bathiany, S., Berends, T., van Bree, L. G. J., Ditlevsen, P., Ghil, M., Haywood, A. M., Katzav, J., Lohmann, G., Lohmann, J., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Marzocchi, A., Pälike, H., Baroni, I. R., Simon, D., Sluijs, A., Stap, L. B., Tantet, A., Viebahn, J. and Ziegler, M. (2016) Lessons on climate sensitivity from past climate changes. Current Climate Change Reports, 2 (4). pp. 148-158. ISSN 2198-6061 doi: https://doi.org/10.1007/s40641-016-0049-3

W

Whitehead, A. and Stallard, N. (2004) Opportunities for reduction in acute toxicity testing via improved design. Alternatives to Laboratory Animals, 32 (Supplement). pp. 73-80. ISSN 0261-1929

Whitehead, A. , Whitehead, J. , Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Zhou, Y. and Smith, M. (2008) Fitting models for the joint action of two drugs using SAS(R). Pharmaceutical Statistics, 7 (4). pp. 272-284. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.312

Whitehead, A., Perdomo, C., Pratt, R.D., Birks, J., Wilcock, G.K. and Evans, J.G. (2004) Donepezil for the symptomatic treatment of patients with mild to moderate Alzheimer's disease: a meta-analysis of individual patient data from randomised controlled trials. International Journal of Geriatric Psychiatry, 19 (7). pp. 624-633. ISSN 0885-6230 doi: https://doi.org/10.1002/gps.1133

Whitehead, J. (2004) Stopping clinical trials by design. Nature Reviews, 3. 973-977.. ISSN 1471-0048 doi: https://doi.org/10.1038/nrd1553

Whitehead, J. (2006) Using Bayesian decision theory in dose-escalation studies. In: Chevret, S. (ed.) Statistical Methods for Dose-Finding Experiments. John Wiley & Sons, Chichester, pp. 149-171. ISBN 9780470861233

Whitehead, J. and Matsushita, T. (2003) Stopping clinical trials because of treatment ineffectiveness: a comparison of a futility design with a method of stochastic curtailment. Statistics in Medicine, 22 (5). 677 - 687. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.1429

Whitehead, J. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2004) The double triangular test in practice. Pharmaceutical Statistics, 3 (1). pp. 39-49. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.91

Whitehead, J., Bolland, K., Valdes-Marquez, E., Lihic, A., Ali, M. and Lees, K. (2009) Using historical lesion volume data in the design of a new phase II clinical trial in acute stroke. Stroke, 40 (4). pp. 1347-1352. ISSN 0039-2499 doi: https://doi.org/10.1161/strokeaha.108.531442

Whitehead, J., Branson, M. and Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X (2010) A combined score test for binary and ordinal endpoints from clinical trials. Statistics in Medicine, 29 (5). pp. 521-532. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.3822

Whitehead, J., Kelly, P., Zhou, Y., Stallard, N., Thygesen, H. and Bowman, C. (2009) Action following the discovery of a global association between the whole genome and adverse event risk in a clinical drug-development programme. Pharmaceutical Statistics, 8 (4). pp. 287-300. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.357

Whitehead, J., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Hall, W. J. (2000) Confidence intervals for secondary parameters following a sequential test. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 62 (4). pp. 731-745. ISSN 1369-7412 doi: https://doi.org/10.1111/1467-9868.00260

Whitehead, J., Valdes-Marquez, E. and Lissmats, A. (2009) A simple two-stage design for quantitative responses with application to a study in diabetic neuropathic pain. Pharmaceutical Statistics, 8 (2). pp. 125-135. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.341

Whitehead, J., Valdes-Marquez, E., Johnson, P. and Graham, G. (2008) Bayesian sample size for exploratory clinical trials incorporating historical data. Statistics in Medicine, 27 (13). pp. 2307-2327. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.3140

Whitehead, J., Whitehead, A., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X, Bolland, K. and Sooriyarachchi, M. R. (2001) Mid-trial design reviews for sequential clinical trials. Statistics in Medicine, 20 (2). pp. 165-176. ISSN 0277-6715 doi: https://doi.org/10.1002/1097-0258(20010130)20:2<165::AID-SIM649>3.0.CO;2-A

Whitehead, J., Zhou, Y., Hampson, L., Ledent, E. and Pereira, A. (2007) A Bayesian approach for dose-escalation in a phase I clinical trial incorporating pharmacodynamic endpoints. Journal of Biopharmaceutical Statistics, 17 (6). pp. 1117-1129. ISSN 1054-3406 doi: https://doi.org/10.1080/10543400701645165

Whitehead, J., Zhou, Y., Mander, A., Ritchie, S., Sabin, A. and Wright, A. (2006) An evaluation of Bayesian designs for dose-escalation studies in healthy volunteers. Statistics in Medicine, 25 (3). pp. 433-445. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2213

Whitehead, J., Zhou, Y., Stevens, J. and Blakey, G. (2004) An evaluation of a Bayesian method of dose escalation based on bivariate binary responses. Journal of Biopharmaceutical Statistics, 14 (4). pp. 969-983. ISSN 1054-3406 doi: https://doi.org/10.1081/BIP-200035471

Whitehead, J., Zhou, Y., Stevens, J., Blakey, G., Price, J. and Leadbetter, J. (2006) Bayesian decision procedures for dose-escalation based on evidence of undesirable events and therapeutic benefit. Statistics in Medicine, 25 (1). pp. 37-53. ISSN 0277-6715 doi: https://doi.org/10.1002/sim.2201

Whitehead, J., Zhou, Y., Stallard, N., Todd, S. ORCID: https://orcid.org/0000-0002-9981-923X and Whitehead, A. (2001) Learning from previous responses in phase I dose-escalation studies. British Journal of Clinical Pharmacology, 52 (1). pp. 1-7. ISSN 03065251 doi: https://doi.org/10.1046/j.0306-5251.2001.01383.x

Wilson, I.M. (2005) Methodology of the evaluation programme: design of the evaluation programme. In: Levy, S. (ed.) Starter Packs: A Strategy to Fight Hunger in Developing Countries? CABI Publishing, Oxon. ISBN 9780851990088

Wilson, I.M. (2005) Some practical sampling procedures for development research. In: Holland, J.D. and Campbell, J. (eds.) Methods in Development Research; Combining Qualitative and Quantitative Approaches. ITDG Publishing, pp. 37-51. ISBN 9781853395727

Wilson, I.M. and Allan, E.F. (2004) Sampling concepts. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 65-86. ISBN 9780851997223

Wilson, I.M. and Huttly, S.R.A. (2004) Young lives: a case study of sample design for longitudinal research. Young Lives: An International Study of Childhood Poverty, Working Pa. ISSN 1904427111

Wilson, I.M. and Stern, R.D. (2004) Analysis of survey data. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 247-263. ISBN 9780851997223

Wilson, I.M., Huttly, S.R. and Fenn, B. (2006) A case study of sample design for longitudinal research: young lives. International Journal of Social Research Methodology, 9 (5). pp. 351-365. ISSN 1364-5579 doi: https://doi.org/10.1080/13645570600658716

Wilson, I.M., Stern, R.D. and Allan, E.F. (2004) Surveys and studies of human subjects. In: Stern, R.D., Coe, R., Allan, E.F. and Dale, I.C. (eds.) Good Statistical Practice for Natural Resources Research. CAB International, Wallingford, pp. 87-106. ISBN 9780851997223

Wollstadt, P., Sellers, K. K., Rudelt, L., Priesemann, V., Hutt, A., Fröhlich, F. and Wibral, M. (2017) Breakdown of local information processing may underlie isoflurane anesthesia effects. PLoS Computational Biology, 13 (6). e1005511. ISSN 1553-734X doi: https://doi.org/10.1371/journal.pcbi.1005511

Y

Young, B. C., Golubchik, T., Batty, E. M., Fung, R., Larner-Svensson, H., Votintseva, A. A., Miller, R. R., Godwin, H., Knox, K., Everitt, R. G., Iqbal, Z., Rimmer, A. J., Cule, M., Ip, C. L. C., Didelot, X., Harding, R. M., Donnelly, P., Peto, T. E., Crook, D. W., Bowden, R. and Wilson, D. J. (2012) Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease. Proceedings of the National Academy of Sciences of the United States of America, 109 (12). pp. 4550-4555. ISSN 0027-8424 doi: https://doi.org/10.1073/pnas.1113219109

Z

Zhao, J. H., Luan, J.’a. , Baksh, M. F. ORCID: https://orcid.org/0000-0003-3107-8815 and Tan, Q. (2007) Mining gene networks with application to GAW15 problem 1. BMC Proceedings, 1 (Supp 1). S52. ISSN 1753-6561

Zhou, Y. (2011) Randomized dose-finding studies: how many dose levels should be used? Clinical Investigation, 1 (8). pp. 1061-1063. ISSN 2041-6792 doi: https://doi.org/10.4155/cli.11.81

Zhou, Y. and Whitehead, J. (2003) Practical implementation of Bayesian dose-escalation procedures. Drug Information Journal, 37. pp. 45-59.

Zhou, Y. and Lucini, M. (2005) Gaining acceptability for the Bayesian decision-theoretic approach in dose-escalation studies. Pharmaceutical Statistics, 4 (3). pp. 161-171. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.172

Zhou, Y. (2010) Adaptive designs for Phase I dose-finding studies. Fundamental & Clinical Pharmacology, 24 (2). pp. 129-138. ISSN 0767-3981 doi: https://doi.org/10.1111/j.1472-8206.2009.00746.x

Zhou, Y. (2004) Bayesian decision theory and its application in early phase clinical trials. Journal of Soochow University, Engineering Science Edition, 24. pp. 24-26. ISSN 1673-047X

Zhou, Y. (2004) Choice of designs and doses for early phase trials. Fundamental & Clinical Pharmacology, 18 (3). pp. 373-378. ISSN 0767-3981 doi: https://doi.org/10.1111/j.1472-8206.2004.00226.x

Zhou, Y. (2005) Choosing the number of doses and the cohort size for phase I dose-escalation studies. Drug Information Journal, 39 (2). pp. 125-138. ISSN 0092-8615

Zhou, Y. (2006) Dose-escalation methods for phase I healthy volunteer studies. In: Chevret, S. (ed.) Statistical Methods for Dose-Finding Experiments. John Wiley & Sons, Chichester, pp. 189-203. ISBN 9780470861233

Zhou, Y., Whitehead, J., Bonvini, E. and Stevens, J.S. (2006) Bayesian decision procedures for binary and continuous bivariate dose-escalation studies. Pharmaceutical Statistics, 5 (2). pp. 125-133. ISSN 1539-1612 doi: https://doi.org/10.1002/pst.222

Zhou, Y., Whitehead, J., Korhonen, P. and Mustonen, M. (2008) Implementation of a Bayesian design in a dose-escalation study of an experimental agent in healthy volunteers. Biometrics, 64 (1). pp. 299-308. ISSN 0006-341X doi: https://doi.org/10.1111/j.1541-0420.2007.00841.x

Zohar, S., Teramukai, S. and Zhou, Y. (2008) Bayesian design and conduct of phase II single-arm clinical trials with binary outcomes: a tutorial. Contemporary Clinical Trials, 29 (4). pp. 608-16. ISSN 1551-7144 doi: https://doi.org/10.1016/j.cct.2007.11.005