Sequential modeling for a class of reference-based imputation methods in clinical trials with quantitative or binary outcomes

DOI10.1002/sim.9303zbMATH Open1547.62223MaRDI QIDQ6626808

Yixin Fang, Man Jin

Publication date: 29 October 2024

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

zbMATH Keywords

sensitivity analysisclinical trialsmissing datamultiple imputationlongitudinal studiesestimandintercurrent events

Mathematics Subject Classification ID

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

Cites Work

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• Addressing missing data mechanism uncertainty using multiple-model multiple imputation: application to a longitudinal clinical trial
• Causal inference in statistics. A primer
• Partial and latent ignorability in missing-data problems
• Inference and missing data
• Statistical Analysis with Missing Data, Third Edition
• Pattern-Mixture Models for Multivariate Incomplete Data
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Clinical Trials with Missing Data
• A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials

Related Items (1)

Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions

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