Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the Cox model

DOI10.1214/07-AOAS132zbMath1138.62082arXiv0803.3919WikidataQ37012786 ScholiaQ37012786MaRDI QIDQ2482986

Li Qin, Peter B. Gilbert, Dong-Feng Li, Dean A. Follmann

Publication date: 30 April 2008

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.3919

zbMATH Keywords

clinical trialmissing datapotential outcomesprincipal stratificationsurrogate markerdiscrete failure time model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (8)

A unified evaluation of differential vaccine efficacy ⋮ Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy ⋮ A Bayesian Approach to Improved Estimation of Causal Effect Predictiveness for a Principal Surrogate Endpoint ⋮ Predicting overall vaccine efficacy in a new setting by re-calibrating baseline covariate and intermediate response endpoint effect modifiers of type-specific vaccine efficacy ⋮ A Multiple Imputation Approach for the Evaluation of Surrogate Markers in the Principal Stratification Causal Inference Framework ⋮ Augmented Designs to Assess Principal Strata Direct Effects ⋮ Identification of causal effects within principal strata using auxiliary variables ⋮ Design and Estimation for Evaluating Principal Surrogate Markers in Vaccine Trials

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