Michael G. Kenward

According to our database, Michael G. Kenward authored at least 9 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Optimal weighted estimation versus Cochran-Mantel-Haenszel.

Lisa Hermans, Geert Molenberghs, Geert Verbeke, Michael G. Kenward, Pavlos Mamouris, Bert Vaes

Commun. Stat. Simul. Comput., 2022

2018

Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes.

Lisa Hermans, Vahid Nassiri, Geert Molenberghs, Michael G. Kenward, Simon Vander Elst, Marc Aerts, Geert Verbeke

Commun. Stat. Simul. Comput., 2018

2013

Performance of parametric survival models under non-random interval censoring: A simulation study.

Nikos Pantazis, Michael G. Kenward, Giota Touloumi

Comput. Stat. Data Anal., 2013

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations.

Donghwan Lee, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward

Comput. Stat. Data Anal., 2013

2012

A method for increasing the robustness of multiple imputation.

Rhian M. Daniel, Michael G. Kenward

Comput. Stat. Data Anal., 2012

2011

MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness.

Cristina Sotto, Caroline Beunckens, Geert Molenberghs, Michael G. Kenward

Comput. Stat. Data Anal., 2011

2010

Semi-parametric marginal models for hierarchical data and their corresponding full models.

Geert Molenberghs, Michael G. Kenward

Comput. Stat. Data Anal., 2010

2009

An improved approximation to the precision of fixed effects from restricted maximum likelihood.

Michael G. Kenward, James H. Roger

Comput. Stat. Data Anal., 2009

2006

The nature of sensitivity in monotone missing not at random models.

Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward

Comput. Stat. Data Anal., 2006