文章基本信息

标题：ANALYSIS OF BINARY CROSS-OVER DATA WITH GENERALIZED LINEAR TRANSITION MODELS
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作者：Etsuo Miyaoka ; Miki Kajikawa ; Bruce Smith 等
期刊名称：JOURNAL OF THE JAPAN STATISTICAL SOCIETY
印刷版ISSN：1882-2754
电子版ISSN：1348-6365
出版年度：2000
卷号：30
期号：1
页码：17-25
DOI：10.14490/jjss1995.30.17
出版社：JAPAN STATISTICAL SOCIETY
摘要：This paper presents a new model for the analysis of binary data from cross-over trials. The model is parameterized by the conditional probabilities of period two responses given period one outcomes and the period one outcome probabilities. Parameter estimation and hypothesis testing are carried out using standard procedures for generalized linear models. An analysis of drug efficacy is presented to illustrate the methods, and a simulation study is used to assess the small sample behavior of the method.
关键词：transition model;generalized linear model;clinical trial;Markov model