Surrogacy validation for time-to-event outcomes with illness-death frailty models

DOI10.1002/BIMJ.202200324zbMATH Open1547.6243MaRDI QIDQ6625395

Author name not available (Why is that?), Jeremy M. G. Taylor, Michael R. Elliott

Publication date: 28 October 2024

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

zbMATH Keywords

clinical trialBayesian methodstime-to-event dataillness-death modelsurrogacy validation

Mathematics Subject Classification ID

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

Cites Work

• Title not available (Why is that?)
• External validity: from do-calculus to transportability across populations
• A causal framework for surrogate endpoints with semi-competing risks data
• Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching
• A Weibull regression model with gamma frailties for multivariate survival data
• Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the Cox model
• Surrogate measures and consistent surrogates
• Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data
• Principal Stratification in Causal Inference
• Evaluating Candidate Principal Surrogate Endpoints
• Related Causal Frameworks for Surrogate Outcomes
• Comparison of joint modeling and landmarking for dynamic prediction under an illness‐death model
• Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy
• A joint frailty‐copula model for meta‐analytic validation of failure time surrogate endpoints in clinical trials
• Causal mediation of semicompeting risks
• Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm

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