STATISTICAL METHODS FOR THE COMMON ODDS RATIO OF A NUMBER OF CONTINGENCY TABLES

这项研究将发展统计方法来分析范畴 数据，特别是在不同群体的比较中。以下是例子 几个列联表的常见赔率比和 两组分层后标准化风险差异的比较 通过一个协变量。所开发方法的最优性 将被调查并确定。似然方程是 是派生出来的。新发展的最大似然和条件 将对最大似然方法进行检验。这项研究一直在进行 扩展到对表格中的多个列联表进行比较 估计和假设检验。这种方法论特别是 有助于检测病例对照中匹配的充分性 流行病学研究。这些方法都具有广泛的应用前景。 流行病学研究、生物医学研究、遗传学和其他 纪律。例如，测试哈代-温伯格定律 遗传学中的阶层和比较出生时的黑人和白人的差异 特定的婴儿死亡率曲线。

This study will develop statistical methods for analyzing categorical data, particularly in the comparison of different groups. Examples are the common odds ratios for a number of contingency tables and the standardized risk difference in the comparison of two groups stratified by a covariate. The optimality properties of the developed methodology will be investigated and established. The likelihood equations are to be derived. The newly developed, maximum likelihood and conditional maximum likelihood methodologies are to be examined. The study has been extended to do a comparison of a number of contingency tables in the form of estimation and hypothesis testing. This methodology is particularly useful in detecting the adequacy of matching in the case-control epidemiological studies. All these methodologies have wide applications to epidemiological studies, biomedical studies, genetics and other disciplines. Examples include testing the Hardy-Weinberg Law across strata in genetics and comparing the black-white differences in birth specific infant mortality curves.