Journal
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
Volume 20, Issue 5, Pages 1055-1070Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10543400903315740
Keywords
Beta distribution; Gamma distribution; Hypothesis; Posterior distribution; Prior distribution; p-Value
Categories
Ask authors/readers for more resources
In the problem of hypothesis testing, a question of practical importance is: When do Bayesian and frequentist methodologies suggest similar solutions? Substantial progress has been made for one-sided hypotheses on the parameters of continuous distributions. In this article, we study the problem of testing one-side hypotheses in binomial and Poisson trials, using Bayesian models with conjugate priors. By correctly choosing prior parameters, we can make the posterior probability smaller than, equal to, or larger than the frequentist p-value. The results are illustrated through simulation modeling and analysis of data from clinical trials.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available