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Michael G Kenward

Showing results (11-20 of 67) with videos related to

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Statistics in Medicine|October 19, 2004
The analysis of repeated 'direct' measures of change illustrated with an application in longitudinal imagingChris Frost, Michael G Kenward, Nick C Fox
Epidemiology (Cambridge, Mass.)|August 7, 2015
Estimating Disease Duration in Cross-sectional SurveysWolf-Peter Schmidt, Sophie Boisson, Michael G Kenward
Statistics in Medicine|September 17, 2009
Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specificationJaakko Nevalainen, Michael G Kenward, Suvi M Virtanen
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|March 5, 2019
Information-anchored sensitivity analysis: theory and applicationSuzie Cro, James R Carpenter, Michael G Kenward
Journal of Biopharmaceutical Statistics|October 22, 2013
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputationJames R Carpenter, James H Roger, Michael G Kenward
Biometrics|July 5, 2022
Correction to "A penalized framework for distributed lag non-linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938-948, September 2017Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, et al.
Statistics in Medicine|February 15, 2020
Estimating treatment effects under untestable assumptions with nonignorable missing dataManuel Gomes, Michael G Kenward, Richard Grieve, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|April 24, 2012
Preventing smoking relapse using text messages: analysis of data from the txt2stop trialKaren M Devries, Michael G Kenward, Caroline J Free
Journal of Biopharmaceutical Statistics|March 11, 2011
Doubly robust and multiple-imputation-based generalized estimating equationsTeshome Birhanu, Geert Molenberghs, Cristina Sotto, et al.
Biometrics|January 31, 2017
A penalized framework for distributed lag non-linear modelsAntonio Gasparrini, Fabian Scheipl, Ben Armstrong, et al.
Pageof 7

Showing results (11-20 of 67) with videos related to

Sort By:
Pageof 7
Statistics in Medicine|October 19, 2004
The analysis of repeated 'direct' measures of change illustrated with an application in longitudinal imagingChris Frost, Michael G Kenward, Nick C Fox
Epidemiology (Cambridge, Mass.)|August 7, 2015
Estimating Disease Duration in Cross-sectional SurveysWolf-Peter Schmidt, Sophie Boisson, Michael G Kenward
Statistics in Medicine|September 17, 2009
Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specificationJaakko Nevalainen, Michael G Kenward, Suvi M Virtanen
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|March 5, 2019
Information-anchored sensitivity analysis: theory and applicationSuzie Cro, James R Carpenter, Michael G Kenward
Journal of Biopharmaceutical Statistics|October 22, 2013
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputationJames R Carpenter, James H Roger, Michael G Kenward
Biometrics|July 5, 2022
Correction to "A penalized framework for distributed lag non-linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938-948, September 2017Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, et al.
Statistics in Medicine|February 15, 2020
Estimating treatment effects under untestable assumptions with nonignorable missing dataManuel Gomes, Michael G Kenward, Richard Grieve, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|April 24, 2012
Preventing smoking relapse using text messages: analysis of data from the txt2stop trialKaren M Devries, Michael G Kenward, Caroline J Free
Journal of Biopharmaceutical Statistics|March 11, 2011
Doubly robust and multiple-imputation-based generalized estimating equationsTeshome Birhanu, Geert Molenberghs, Cristina Sotto, et al.
Biometrics|January 31, 2017
A penalized framework for distributed lag non-linear modelsAntonio Gasparrini, Fabian Scheipl, Ben Armstrong, et al.
Pageof 7