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  • 标题:ANALYSIS OF BINARY CROSS-OVER DATA WITH GENERALIZED LINEAR TRANSITION MODELS
  • 本地全文:下载
  • 作者:Etsuo Miyaoka ; Miki Kajikawa ; Bruce Smith
  • 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
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