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A comparison of methods for analyzing a binary composite endpoint with partially observed components in randomized controlled trials

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Publication:6628206
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DOI10.1002/sim.9203zbMATH Open1546.62592MaRDI QIDQ6628206

Ian R. White, Gordon Forbes, Simon J. Stanworth, Tra My Pham, Brennan C. Kahan, Tim P. Morris

Publication date: 29 October 2024

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




zbMATH Keywords

missing datamultiple imputationcompatibilityRCTscomposite endpoints


Mathematics Subject Classification ID

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


Cites Work

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  • Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed
  • Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
  • On the potential for illogic with logically defined outcomes
  • A Potential for Bias When Rounding in Multiple Imputation
  • Multiple imputation of discrete and continuous data by fully conditional specification
  • Using simulation studies to evaluate statistical methods







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