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聚类二元反应方法在小样本量心血管研究中的应用。

An application of methods for clustered binary responses to a cardiovascular study with small sample size.

作者信息

Luta G, Koch G G, Cascio W E, Smith W T

机构信息

Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill 27599-7400, USA.

出版信息

J Biopharm Stat. 1998 Mar;8(1):87-102. doi: 10.1080/10543409808835224.

Abstract

This paper discusses statistical methods for a cardiovascular study in which each of eight animals had a dichotomous outcome observed for each of several treatments. There were five treatments in all: shunt, control, two doses of a test drug for potentially causing an unfavorable cardiovascular event, and a combination of the test drug and a counteracting agent. Exact conditional methods were used through LogXact, a statistical software for exact logistic regression and an alternative framework for performing a large class of nonparametric tests performed by StatXact. The results agreed reasonably with asymptotic methods even though the sample size was small.

摘要

本文讨论了一项心血管研究的统计方法,在该研究中,八只动物中的每只动物针对几种治疗方法中的每一种都观察到了二分结果。总共有五种治疗方法:分流、对照、两种可能导致不良心血管事件的测试药物剂量,以及测试药物与一种拮抗剂的组合。通过LogXact使用了精确条件方法,LogXact是一种用于精确逻辑回归的统计软件,也是执行StatXact所执行的一大类非参数检验的替代框架。即使样本量较小,结果与渐近方法也相当吻合。

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