Items where Division is "Applied Statistics" and Year is 2011
Number of items: 12. BBaksh, M. Fazil, Böhning, Dankmar and Lerdsuwansri, Rattana (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 Burn, Robert, Underwood, Fiona and Blanc, Julian (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 CChataway, J., Nicholas, R., Todd, Susan, Miller, D. H., Parsons, N., Valdes-Marquez, Elsa, 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 DDidelot, Xavier, Everitt, Richard G., Johansen, Adam M. and Lawson, Daniel 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 FFriede, T., Parsons, N., Stallard, N., Todd, Susan, 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 JJames, Gareth, Zhou, Yinghui and Miller, Sam (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 MMatcham, James, Julious, Steven, Pyke, Stephen, O'Kelly, Michael, Todd, Susan, Seldrup, Jorgen and Day, Simon (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 NNeuman, Ben W., Kiss, Gabriella, Kunding, A. H., Bhella, D., Baksh, M. Fazil, 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 OO'Kelly, Michael, Julious, Steven A., Pyke, Stephen, Day, Simon, Todd, Sue, Seldrup, Jorgen and Matcham, James (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 PPyke, Stephen, Julious, Steven A., Day, Simon, O'Kelly, Michael, Todd, Susan, Matcham, James and Seldrup, Jorgen (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 SStallard, N. and Todd, Susan (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 ZZhou, Yinghui (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 |