MARGINAL MODELING OF BINARY CROSS-OVER DATA

被引：56

作者：

BECKER, MP ^{[1
]}

BALAGTAS, CC ^{[1
]}

机构：

[1] WARNER LAMBERT PARKE DAVIS,DEPT BIOMETR,PARKE DAVIS PHARMACEUT RES DIV,ANN ARBOR,MI 48106

来源：

BIOMETRICS | 1993年 / 49卷 / 04期

关键词：

HILLS-ARMITAGE TEST; LOG-LINEAR MODELS; MAINLAND-GART TEST; MAXIMUM LIKELIHOOD; MCNEMARS TEST; PRESCOTTS TEST;

D O I：

10.2307/2532242

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A model specified in terms of linear models for marginal logits and linear models for log-odds ratios is proposed for the analysis of two-period binary cross-over experiments. Hypothesis testing and parameter estimation are facilitated by standard likelihood methodology. Two examples are used to illustrate how the model can be used to analyze two-period binary cross-over experiments. Results from a simulation study demonstrate that this approach to the analysis of binary cross-over data compares favorably with standard procedures, such as the Mainland-Gart test for a treatment difference, Prescott's test for a treatment difference, and the Hills-Armitage test for treatment-by-period interaction.

引用

页码：997 / 1009

页数：13

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