Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome

DOI10.1111/BIOM.12215zbMath1393.62055OpenAlexW1853801206WikidataQ30837329 ScholiaQ30837329MaRDI QIDQ3465385

Kuolung Hu, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Catherine Jia

Publication date: 21 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4276515

zbMATH Keywords

Gibbs samplingrecurrent eventspower priorclinical trial designmyelodysplastic syndrometype I error rate and power

Mathematics Subject Classification ID

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

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Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning ⋮ Normalized power prior Bayesian analysis

Cites Work

• Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data
• A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
• Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models
• Bayesian Meta-Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes
• Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

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