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Dummy Variable Regression Models and Analysis of Responses in Diagnostic Screening Tests with Replications

机译：虚拟变量回归模型和带有复制的诊断筛选测试中的响应分析

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摘要

This paper develops and presents use of dummy variable regression models in the analysis of results from diagnostic screening tests or clinical trials with several case-control subject response options or categories, with replications in each case-control response category or combination. The proposed method can also be used in comparing differences between proportions of case and control subjects responding positive under various case-control response categories or options. Test statistics are developed for testing the null hypotheses that the regression model is an adequate representation of the differences in scores or responses between pairs of case and control subjects in diagnostic screening tests and for comparing the responses of cases and controls in the paired case-control subject response categories. Test statistics are also developed for use in pairwise comparisons of the effect of scores by case-control subject at various response categories. Corresponding probabilities, odds and odds-ratios of positive responses are also estimated using the resulting regression coefficients. The proposed method is illustrated with some data.
机译：本文开发并提出了虚拟变量回归模型，用于分析诊断筛选测试或临床试验的结果，这些结果具有多个病例对照受试者反应选项或类别，并且在每个病例对照反应类别或组合中都有重复。所提出的方法还可以用于比较在各种病例对照反应类别或选项下阳性反应的病例和对照受试者的比例之间的差异。测试统计数据的开发是为了检验无效假设，即回归模型可以充分代表诊断筛查测试中成对的病例和对照对象之间得分或反应的差异，并用于比较成对的病例-对照中病例和对照的反应主题响应类别。还开发了测试统计数据，用于案例对照对象在各种响应类别下得分效果的成对比较。还使用所得回归系数来估计相应的概率，正响应的几率和几率。所提出的方法用一些数据说明。

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