REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors
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Publication:6618357
DOI10.1002/SIM.10107zbMATH Open1545.62663MaRDI QIDQ6618357
Evan Kwiatkowski, Young Jack Lee, Ruitao Lin, Author name not available (Why is that?)
Publication date: 14 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer
- Dose-Finding Based on Efficacy-Toxicity Trade-Offs
- Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials
- Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors
- Group up-and-down designs for dose-finding
- Design and Analysis of Phase I Clinical Trials
- Bayesian Dose-Finding in Phase I/II Clinical Trials Using Toxicity and Efficacy Odds Ratios
- Determining the Effective Sample Size of a Parametric Prior
- A Bayesian Phase I/II Trial Design for Immunotherapy
- A utility-based Bayesian optimal interval (U-BOIN) phase I/II design to identify the optimal biological dose for targeted and immune therapies
- Change-point joint model for identification of plateau of activity in early phase trials
- Bayesian optimal interval designs for phase I clinical trials
- Phase I--II trial design for biologic agents using conditional auto-regressive models for toxicity and efficacy
- An information theoretic phase I--II design for molecularly targeted agents that does not require an assumption of monotonicity
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