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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

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

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

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

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

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

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