The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research

DOI10.1002/sim.10126zbMATH Open1545.62217MaRDI QIDQ6618321

Peter C. Austin

Publication date: 14 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

Monte Carlo simulationssurvival analysisclustered dataCox regressionvariance estimationhealth services research

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications
• Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials
• Using simulation studies to evaluate statistical methods
• Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations

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