Donald A, Donner A
Stat Med. 1987 Jun;6(4):491-9. doi: 10.1002/sim.4780060408.
Dependence between observations on a dichotomous variable renders invalid the usual chi-square tests of independence and inflates the variances of parameter estimates. Such a situation occurs, for example, when subjects consist of members of the same family or with repeated observations on the same person. In this paper we describe methods of measuring the extent of correlation (or clustering). We also develop methods of adjusting the Mantel-Haenszel chi-square test statistic and the variance of the Mantel-Haenszel estimate of a common odds ratio in sets of 2 X 2 contingency tables.
二分变量观测值之间的相关性会使常用的独立性卡方检验无效,并夸大参数估计值的方差。例如,当研究对象由同一家族成员组成或对同一人进行重复观测时,就会出现这种情况。在本文中,我们描述了测量相关性(或聚类)程度的方法。我们还开发了一些方法,用于调整2×2列联表集合中Mantel-Haenszel卡方检验统计量以及共同比值比的Mantel-Haenszel估计值的方差。