Several examples of categorized data from epidemiological studies are analyzed to illustrate that more informative analysis than tests of independence can be performed by fitting models. All of the analyses fit into a unified conceptual framework that can be performed by weighted least squares. The methods presented show how to calculate point estimate of parameters, asymptotic variances, and asymptotically valid chi 2 tests. The examples presented are analysis of relative risks estimated from several 2 x 2 tables, analysis of selected features of life tables, construction of synthetic life tables from cross-sectional studies, and analysis of dose-response curves.
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机译：对流行病学研究分类数据的几个示例进行了分析，以说明通过拟合模型可以执行比独立性测试更多的信息分析。所有分析都适合一个统一的概念框架，可以通过加权最小二乘法执行。提出的方法显示了如何计算参数，渐近方差和渐近有效的chi 2检验的点估计。所举的例子是从几个2 x 2表格中估算的相对风险分析，生命表选定特征的分析，横断面研究中合成生命表的构建以及剂量反应曲线的分析。
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