Performance and sample size requirements of Bayesian methods for binary outcomes in fixed-dose combination drug studies.
We develop a Bayesian analysis for the study of fixed-dose combinations of two or more drugs. The approach described here does not require knowledge of the dose-response relationships of the components or large sample approximations. We provide a procedure to estimate sample size in this context. In addition, we explore the performance of the Bayesian procedure in situations where existing methods are known to perform poorly.
Holt
Melinda M
MM
Department of Mathematics and Statistics, Sam Houston State University, Huntsville, Texas 77341-2206, USA. mholt@shsu.edu
Stamey
James D
JD
Seaman
John W
JW
Young
Dean M
DM
D000465:Algorithms; D001499:Bayes Theorem; D016010:Binomial Distribution; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003198:Computer Simulation; D004357:Drug Synergism; D004359:Drug Therapy, Combination; D006801:Humans; D009010:Monte Carlo Method; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D018401:Sample Size
D004364:Pharmaceutical Preparations