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Michael G Kenward

Showing results (1-10 of 67) with videos related to

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Statistical Methods in Medical Research|July 25, 2015
James Roger: A brief biographyMichael G Kenward
Statistical Methods in Medical Research|July 11, 2007
Multiple imputation: current perspectivesMichael G Kenward, James Carpenter
Journal of Biopharmaceutical Statistics|February 26, 2010
Last observation carried forward: a crystal ball?Michael G Kenward, Geert Molenberghs
Statistics in Medicine|September 23, 2010
The analysis of very small samples of repeated measurements II: a modified Box correctionSimon S Skene, Michael G Kenward
Biostatistics (Oxford, England)|November 17, 2009
The use of baseline covariates in crossover studiesMichael G Kenward, James H Roger
Statistics in Medicine|September 15, 2010
The analysis of very small samples of repeated measurements I: an adjusted sandwich estimatorSimon S Skene, Michael G Kenward
Journal of Biopharmaceutical Statistics|March 11, 2011
Joint modeling of outcome, observation time, and missingnessMichael G Kenward, Gerd K Rosenkranz
Clinical Trials (London, England)|December 1, 2005
Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trialsCaroline Beunckens, Geert Molenberghs, Michael G Kenward
Statistics in Medicine|May 20, 2008
Optimizing the design of clinical trials where the outcome is a rate. Can estimating a baseline rate in a run-in period increase efficiency?Chris Frost, Michael G Kenward, Nick C Fox
Statistics in Medicine|December 18, 2012
Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed modelChristina Bamia, Ian R White, Michael G Kenward
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Statistical Methods in Medical Research|July 25, 2015
James Roger: A brief biographyMichael G Kenward
Statistical Methods in Medical Research|July 11, 2007
Multiple imputation: current perspectivesMichael G Kenward, James Carpenter
Journal of Biopharmaceutical Statistics|February 26, 2010
Last observation carried forward: a crystal ball?Michael G Kenward, Geert Molenberghs
Statistics in Medicine|September 23, 2010
The analysis of very small samples of repeated measurements II: a modified Box correctionSimon S Skene, Michael G Kenward
Biostatistics (Oxford, England)|November 17, 2009
The use of baseline covariates in crossover studiesMichael G Kenward, James H Roger
Statistics in Medicine|September 15, 2010
The analysis of very small samples of repeated measurements I: an adjusted sandwich estimatorSimon S Skene, Michael G Kenward
Journal of Biopharmaceutical Statistics|March 11, 2011
Joint modeling of outcome, observation time, and missingnessMichael G Kenward, Gerd K Rosenkranz
Clinical Trials (London, England)|December 1, 2005
Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trialsCaroline Beunckens, Geert Molenberghs, Michael G Kenward
Statistics in Medicine|May 20, 2008
Optimizing the design of clinical trials where the outcome is a rate. Can estimating a baseline rate in a run-in period increase efficiency?Chris Frost, Michael G Kenward, Nick C Fox
Statistics in Medicine|December 18, 2012
Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed modelChristina Bamia, Ian R White, Michael G Kenward
Pageof 7