A Bayesian Approach to the Analysis of Data from Clinical Trials
作者:
MelvinR. Novick,
JamesE. Grizzle,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1965)
卷期:
Volume 60,
issue 309
页码: 81-96
ISSN:0162-1459
年代: 1965
DOI:10.1080/01621459.1965.10480777
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A Bayesian logical probability approach is described and its advantages with respect to constructing prior distributions for Bayesian analyses are discussed. Some standard Bayesian distribution theory for categorized data is summarized. Data from an on-going experiment to compare the relative efficacy of four operative treatments for ulcer are used both to pinpoint some of the practical problems involved in clinical trials and to demonstrate the usefulness of Bayesian inference methods when facing these problems.
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