Dose-Finding with Two Agents in Phase I Oncology Trials
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Publication:3079137
DOI10.1111/1541-0420.00058zbMath1210.62212OpenAlexW2071941141WikidataQ44644857 ScholiaQ44644857MaRDI QIDQ3079137
Peter F. Thall, Peter Mueller, Sang-Joon Lee, Randall E. Millikan
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1541-0420.00058
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50)
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Cites Work
- Unnamed Item
- Optimal Bayesian design applied to logistic regression experiments
- Design and Analysis of Phase I Clinical Trials
- Sampling-Based Approaches to Calculating Marginal Densities
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
- A Strategy for Dose-Finding and Safety Monitoring Based on Efficacy and Adverse Outcomes in Phase I/II Clinical Trials
- Optimum Experimental Designs for Multinomial Logistic Models
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