Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time

DOI10.1111/J.1541-0420.2011.01646.XzbMath1241.62146OpenAlexW2011778653WikidataQ35556037 ScholiaQ35556037MaRDI QIDQ2894011

Daniel J. Sargent, Marc Buyse, Tomasz Burzykowski, Stuart G. Baker

Publication date: 27 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3218246

zbMATH Keywords

principal stratificationreproducibilityrandomized trials

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Uses Software

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Cites Work

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• Exploring and validating surrogate endpoints in colorectal cancer
• Principal Stratification in Causal Inference
• Identification of Causal Effects Using Instrumental Variables
• Identification and Estimation of Local Average Treatment Effects
• The validation of surrogate endpoints in meta-analyses of randomized experiments
• On meta-analytic assessment of surrogate outcomes
• Criteria for the Validation of Surrogate Endpoints in Randomized Experiments
• Simultaneous-Equation Estimation in a Clinical Trial of the Effect of Smoking on Birth Weight

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