Robust meta‐analytic‐predictive priors in clinical trials with historical control information

DOI10.1111/biom.12242zbMath1393.62098OpenAlexW2166992787WikidataQ51018509 ScholiaQ51018509MaRDI QIDQ3465388

Sandro Gsteiger, Heinz Schmidli, Beat E. Neuenschwander, Satrajit Roychoudhury, David J. Spiegelhalter, Anthony O'Hagan

Publication date: 21 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12242

zbMATH Keywords

robustnessclinical trialsexponential familyBayesian inferencemixture distributionadaptive designmeta-analysisadaptive randomization

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Empirical Bayes estimators in hierarchical models with mixture priors, Meta‐analysis of two studies in the presence of heterogeneity with applications in rare diseases, Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials, Approximation of the Meta-Analytic-Predictive Prior Distribution in the One-Way Random Effects Model with Unknown Variance, Effective sample size for a mixture prior, Adaptive prior weighting in generalized regression, Elastic priors to dynamically borrow information from historical data in clinical trials, Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis, Calibrated Bayes factors under flexible priors, Bounds for the weight of external data in shrinkage estimation, Bayesian dynamic borrowing of historical information with applications to the analysis of large-scale assessments, Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis, Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials

Uses Software

• WinBUGS

Cites Work

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