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针对具有二项式或泊松分布结果以及存在失访受试者的两治疗多周期交叉设计的条件分析。

A conditional analysis for two-treatment multiple-period crossover designs with binomial or poisson outcomes and subjects who drop out.

作者信息

McKnight B, Van den Eeden S K

机构信息

Department of Biostatistics, University of Washington, Seattle, Washington 98195.

出版信息

Stat Med. 1993 May 15;12(9):825-34. doi: 10.1002/sim.4780120903.

Abstract

We propose a conditional analysis for outcome data on numbers of recurrent symptoms arising in a two-treatment, multiple-period crossover trial. Conditioning on subject-specific totals removes any dependence on mean subject-specific symptom rates and permits the use of standard software to perform regression analysis to examine treatment, period, carryover and interaction effects. The addition of offsets to the regression equations allows the incorporation of data from subjects who do not complete all periods in the trial. We apply the proposed method to data from a crossover trial and discuss its advantages and disadvantages.

摘要

我们针对两治疗组、多周期交叉试验中出现的复发症状数量的结局数据提出了一种条件分析方法。以个体特定的总计值为条件,可以消除对个体特定症状平均发生率的任何依赖,并允许使用标准软件进行回归分析,以检验治疗、周期、残留和交互作用效应。在回归方程中添加偏移量,能够纳入未完成试验所有周期的受试者的数据。我们将所提出的方法应用于一项交叉试验的数据,并讨论其优缺点。

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