On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomes

DOI10.1002/SIM.8698zbMATH Open1546.62536MaRDI QIDQ6629840

Geert Molenberghs, Wim Van der Elst, Ariel Alonso, Paul Meyvisch

Publication date: 30 October 2024

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

zbMATH Keywords

causal inferencesurrogate endpointR package surrogate

Mathematics Subject Classification ID

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

Cites Work

• An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference
• Principal Stratification in Causal Inference
• An informational measure of correlation
• On the relationship between the causal‐inference and meta‐analytic paradigms for the validation of surrogate endpoints
• Relative Entropy Measures of Multivariate Dependence
• The validation of surrogate endpoints in meta-analyses of randomized experiments
• Criteria for the Validation of Surrogate Endpoints in Randomized Experiments

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