Hirji K F
Department of Biomathematics, UCLA School of Medicine 90024-1766.
Biometrics. 1994 Dec;50(4):964-74.
This paper provides an efficient algorithm to generate exact distributions for the bivariate logistic model with common and sub-unit-specific covariates. The algorithm can be used to analyze correlated paired binary response data from studies lacking a large sample size. Possible applications include a clinical trial with two distinct binary outcomes, a binary outcome cross-over or two-time point cohort study, and a pair-matched prospective study with binary outcome. Analysis of data from an ophthalmologic study is provided to illustrate the method. Extension to three or more correlated binary responses is also outlined.
本文提供了一种高效算法,用于生成具有共同协变量和特定子单元协变量的双变量逻辑模型的精确分布。该算法可用于分析来自样本量不大的研究中的相关配对二元反应数据。可能的应用包括具有两个不同二元结果的临床试验、二元结果交叉试验或两时间点队列研究,以及具有二元结果的配对前瞻性研究。文中提供了一项眼科研究的数据分析以说明该方法。还概述了将该方法扩展到三个或更多相关二元反应的情况。