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Biometrics|March 8, 2024
Rejoinder to the discussion on "The central role of the identifying assumption in population size estimation"Serge Aleshin-Guendel, Mauricio Sadinle, Jon WakefieldAmerican Journal of Epidemiology|February 14, 2008
Overcoming ecologic bias using the two-phase study designJon Wakefield, Sebastien J-P A HaneuseJournal of Exposure Science & Environmental Epidemiology|May 17, 2012
A Bayesian mixture modeling approach for assessing the effects of correlated exposures in case-control studiesFrank de Vocht, Nicola Cherry, Jon WakefieldBayesian Analysis|January 12, 2016
Restricted Covariance Priors with Applications in Spatial StatisticsTheresa R Smith, Jon Wakefield, Adrian DobraGenome Research|September 27, 2014
Heritable variation of mRNA decay rates in yeastJennifer M Andrie, Jon Wakefield, Joshua M AkeyBiometrics|July 6, 2016
Time series modeling of pathogen-specific disease probabilities with subsampled dataLeigh Fisher, Jon Wakefield, Cici Bauer, et al.Statistics in Medicine|February 23, 2011
Bayes computation for ecological inferenceJon Wakefield, Sebastien Haneuse, Adrian Dobra, et al.Spatial and Spatio-Temporal Epidemiology|February 15, 2025
Estimating subnational under-five mortality rates using a spatio-temporal Age-Period-Cohort modelConnor Gascoigne, Theresa Smith, John Paige, et al.Arxiv|August 18, 2022
Incorporating testing volume into estimation of effective reproduction number dynamicsIsaac H Goldstein, Jon Wakefield, Volodymyr M MininGenetic Epidemiology|June 4, 2009
Bayesian mixture modeling of gene-environment and gene-gene interactionsJon Wakefield, Frank De Vocht, Rayjean J HungPageof 12