Comparison of population-averaged and cluster-specific models for the analysis of cluster randomized trials with missing binary outcomes: a simulation study

Comparison of population-averaged and cluster-specific models for the analysis of cluster randomized trials with missing binary outcomes: a simulation study

<p>Abstracts</p> <p>Background</p> <p>The objective of this simulation study is to compare the accuracy and efficiency of population-averaged (i.e. generalized estimating equations (GEE)) and cluster-specific (i.e. random-effects logistic regression (RELR)) models for a...

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Bibliographic Details
Main Authors: Ma Jinhui, Raina Parminder, Beyene Joseph, Thabane Lehana
Format: Article
Language:English
Published: BMC 2013-01-01
Series:BMC Medical Research Methodology
Subjects:
Marginal model
Population-averaged model
Cluster-specific model
Multiple imputation
Cluster randomized trial
Covariate dependent missingness
Generalized estimating equations
Random-effects logistic regression
Online Access:http://www.biomedcentral.com/1471-2288/13/9

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http://www.biomedcentral.com/1471-2288/13/9

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