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Biometrics
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December 1, 1994
An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random
M G Kenward, E Lesaffre, G Molenberghs
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 model
Christina Bamia, Ian R White, Michael G Kenward
Statistics in Medicine
|
October 19, 2004
The analysis of repeated 'direct' measures of change illustrated with an application in longitudinal imaging
Chris Frost, Michael G Kenward, Nick C Fox
Journal of the Royal Army Medical Corps
|
May 20, 2004
Mission creep: an analysis of accident and emergency room activity in a military facility in Bosnia-Herzegovina
G Kenward, T N M Jain, K Nicholson
Epidemiology (Cambridge, Mass.)
|
August 7, 2015
Estimating Disease Duration in Cross-sectional Surveys
Wolf-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 specification
Jaakko 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 application
Suzie 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 imputation
James R Carpenter, James H Roger, Michael G Kenward
Biostatistics (Oxford, England)
|
August 23, 2003
Bayesian discrimination with longitudinal data
P J Brown, M G Kenward, E E Bassett
Page
of 11
Search research articles
Search
Showing results (21-30 of 107) with videos related to
Sort By:
Page
of 11
Biometrics
|
December 1, 1994
An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random
M G Kenward, E Lesaffre, G Molenberghs
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 model
Christina Bamia, Ian R White, Michael G Kenward
Statistics in Medicine
|
October 19, 2004
The analysis of repeated 'direct' measures of change illustrated with an application in longitudinal imaging
Chris Frost, Michael G Kenward, Nick C Fox
Journal of the Royal Army Medical Corps
|
May 20, 2004
Mission creep: an analysis of accident and emergency room activity in a military facility in Bosnia-Herzegovina
G Kenward, T N M Jain, K Nicholson
Epidemiology (Cambridge, Mass.)
|
August 7, 2015
Estimating Disease Duration in Cross-sectional Surveys
Wolf-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 specification
Jaakko 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 application
Suzie 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 imputation
James R Carpenter, James H Roger, Michael G Kenward
Biostatistics (Oxford, England)
|
August 23, 2003
Bayesian discrimination with longitudinal data
P J Brown, M G Kenward, E E Bassett
Page
of 11