BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons
DOI10.1080/01621459.2020.1837142zbMath1457.62351OpenAlexW3093073592MaRDI QIDQ5857110
Ruitao Lin, Ying Yuan, Peter F. Thall
Publication date: 30 March 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2020.1837142
Bayesian analysispiecewise exponential modelgroup sequentialsurvival comparisonrandomized comparative trialresponse heterogeneity
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Sequential statistical design (62L05)
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Cites Work
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian data augmentation dose finding with continual reassessment method and delayed toxicity
- Multiple Comparisons
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling
- Discrete Sequential Boundaries for Clinical Trials
- Design and Analysis of Group Sequential Clinical Trials with Multiple Primary Endpoints
- A sharper Bonferroni procedure for multiple tests of significance
- Estimation of the average hazard ratio
- Markov Beta and Gamma Processes for Modelling Hazard Rates
- A utility‐based design for randomized comparative trials with ordinal outcomes and prognostic subgroups
- Familywise error control in multi‐armed response‐adaptive trials
- Influence of trial duration on the bias of the estimated treatment effect in clinical trials when individual heterogeneity is ignored
- Bayesian Survival Analysis With Nonproportional Hazards
- Bayesian survival analysis
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