Bayesian hierarchical meta-analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data

DOI10.1002/SIM.8465zbMATH Open1546.62581MaRDI QIDQ6627523

Tasos Papanikos, Keith Abrams, R. Taylor, Nicolas Städler, Oriana Ciani, John R. Thompson, Sylwia Bujkiewicz

Publication date: 29 October 2024

Published in: (Search for Journal in Brave)

zbMATH Keywords

surrogate endpointshierarchical modelsmeta-analysispartial exchangeabilitytreatment classes

Mathematics Subject Classification ID

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

Cites Work

• Data Analysis Using Stein's Estimator and its Generalizations
• The validation of surrogate endpoints in meta-analyses of randomized experiments
• Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
• A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
• Bivariate network meta-analysis for surrogate endpoint evaluation

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