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Jon Wakefield

Showing results (41-50 of 104) with videos related to

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Biometrics|March 8, 2024
The central role of the identifying assumption in population size estimationSerge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
Arxiv|May 5, 2021
A linear noise approximation for stochastic epidemic models fit to partially observed incidence countsJonathan Fintzi, Jon Wakefield, Vladimir N Minin
Biometrics|August 10, 2021
A linear noise approximation for stochastic epidemic models fit to partially observed incidence countsJonathan Fintzi, Jon Wakefield, Vladimir N Minin
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 Wakefield
American Journal of Epidemiology|February 14, 2008
Overcoming ecologic bias using the two-phase study designJon Wakefield, Sebastien J-P A Haneuse
Journal 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 Wakefield
Bayesian Analysis|January 12, 2016
Restricted Covariance Priors with Applications in Spatial StatisticsTheresa R Smith, Jon Wakefield, Adrian Dobra
Genome Research|September 27, 2014
Heritable variation of mRNA decay rates in yeastJennifer M Andrie, Jon Wakefield, Joshua M Akey
Biometrics|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.
Pageof 11

Showing results (41-50 of 104) with videos related to

Sort By:
Pageof 11
Biometrics|March 8, 2024
The central role of the identifying assumption in population size estimationSerge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
Arxiv|May 5, 2021
A linear noise approximation for stochastic epidemic models fit to partially observed incidence countsJonathan Fintzi, Jon Wakefield, Vladimir N Minin
Biometrics|August 10, 2021
A linear noise approximation for stochastic epidemic models fit to partially observed incidence countsJonathan Fintzi, Jon Wakefield, Vladimir N Minin
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 Wakefield
American Journal of Epidemiology|February 14, 2008
Overcoming ecologic bias using the two-phase study designJon Wakefield, Sebastien J-P A Haneuse
Journal 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 Wakefield
Bayesian Analysis|January 12, 2016
Restricted Covariance Priors with Applications in Spatial StatisticsTheresa R Smith, Jon Wakefield, Adrian Dobra
Genome Research|September 27, 2014
Heritable variation of mRNA decay rates in yeastJennifer M Andrie, Jon Wakefield, Joshua M Akey
Biometrics|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.
Pageof 11