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交叉试验中二元数据和分类数据的分析。

The analysis of binary and categorical data from crossover trials.

作者信息

Kenward M G, Jones B

机构信息

Statistics Department, Rothamsted Experimental Station, BBSRC Institute of Arable Crops Research, Harpenden, Hertfordshire, UK.

出版信息

Stat Methods Med Res. 1994 Dec;3(4):325-44. doi: 10.1177/096228029400300403.

DOI:10.1177/096228029400300403
PMID:7889226
Abstract

A review is presented of methods for the analysis of discrete data from crossover trials. The definition and interpretation of the model for the data is used as a central theme. Distinctions are drawn between different types of model, particularly marginal and subject specific. It is seen how much recent methodology for analysing correlated categorical data can be applied successfully to the crossover setting. The current accessibility of each method is considered and the different approaches are illustrated and compared using two examples.

摘要

本文综述了交叉试验离散数据分析方法。数据模型的定义与解释作为核心主题。区分了不同类型的模型,尤其是边际模型和个体特定模型。探讨了近期分析相关分类数据的方法在交叉试验设置中成功应用的程度。考虑了每种方法当前的可及性,并通过两个例子对不同方法进行了说明和比较。

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The analysis of binary and categorical data from crossover trials.交叉试验中二元数据和分类数据的分析。
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引用本文的文献

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Design, Analysis, and Reporting of Crossover Trials for Inclusion in a Meta-Analysis.纳入荟萃分析的交叉试验的设计、分析与报告
PLoS One. 2015 Aug 18;10(8):e0133023. doi: 10.1371/journal.pone.0133023. eCollection 2015.