Miettinen O S
Am J Epidemiol. 1976 Dec;104(6):609-20. doi: 10.1093/oxfordjournals.aje.a112339.
The complexity and inefficiency of multiple cross-classification as a means of controlling confounding in etiologic research may be avoided upon summarizing the pattern of confounding factors for each subject in terms of a multivariate score. The control of confounding may be based on stratification by the score, with stratum-specific contingency tables obtained and analyzed in the usual manner.
在病因学研究中,作为控制混杂因素的一种手段,多重交叉分类的复杂性和低效率可以通过根据多变量分数总结每个受试者的混杂因素模式来避免。可以基于该分数进行分层来控制混杂因素,以常规方式获得并分析特定层的列联表。