Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials

DOI10.1002/BIMJ.202200113zbMath1528.62081arXiv2203.02560MaRDI QIDQ6141309

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Publication date: 4 January 2024

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2203.02560

zbMATH Keywords

survival analysisgeneralized estimating equationstype I errorbias-corrected sandwich varianceclustered time-to-event outcomessmall-sample correction

Mathematics Subject Classification ID

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

Cites Work

• Longitudinal data analysis using generalized linear models
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
• Generalized estimating equations.
• The Robust Inference for the Cox Proportional Hazards Model
• Multivariate Generalizations of the Proportional Hazards Model
• The Analysis of Categorical Data From Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Marginal Regression Models for Multivariate Failure Time Data
• Estimating equations for hazard ratio parameters based on correlated failure time data
• Small Sample Correction for the Variance of GEE Estimators
• Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations

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