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Statistics in Medicine|January 30, 2004
Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scaleSimon G Thompson, David E Warn, Rebecca M TurnerStatistics in Medicine|October 13, 2005
Constructing intervals for the intracluster correlation coefficient using Bayesian modelling, and application in cluster randomized trialsRebecca M Turner, Rumana Z Omar, Simon G ThompsonStatistics in Medicine|April 15, 2004
Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trialsRebecca M Turner, A Toby Prevost, Simon G ThompsonBiometrical Journal. Biometrische Zeitschrift|July 19, 2006
Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trialsRebecca M Turner, Rumana Z Omar, Simon G ThompsonClinical Trials (London, England)|November 11, 2005
Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trialsRebecca M Turner, Simon G Thompson, David J SpiegelhalterJournal of the Royal Statistical Society. Series A, (Statistics in Society)|March 8, 2011
Modelling bias in combining small area prevalence estimates from multiple surveysGiancarlo Manzi, David J Spiegelhalter, Rebecca M Turner, et al.Journal of the Royal Statistical Society. Series A, (Statistics in Society)|April 22, 2009
Bias modelling in evidence synthesisRebecca M Turner, David J Spiegelhalter, Gordon C S Smith, et al.International Journal of Epidemiology|March 31, 2012
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic ReviewsRebecca M Turner, Jonathan Davey, Mike J Clarke, et al.Statistics in Medicine|December 6, 2014
Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysisRebecca M Turner, Dan Jackson, Yinghui Wei, et al.BMC Public Health|January 25, 2011
Dietary energy density and adiposity: employing bias adjustments in a meta-analysis of prospective studiesDésirée C Wilks, Adrian P Mander, Susan A Jebb, et al.Pageof 18