Dubin N, Pasternack B S
Am J Epidemiol. 1986 Jun;123(6):1101-17. doi: 10.1093/oxfordjournals.aje.a114338.
Case-control studies involving more than two disease and referent categories may be analyzed by means of polychotomous logistic regression, an extension of the usual dichotomous logistic regression model. Although the standard method still may be used to compare the several disease subgroups in pairs, the polychotomous approach is advantageous in that it allows simultaneous estimation of the disease-specific parameters and direct hypothesis testing involving multiple disease categories. This is especially useful for assessing whether different disease types have different risk factors. The method is applied to a large case-control study of breast cancer involving three disease categories for which both categoric and continuous risk factors are considered. Substantive epidemiologic interpretation of polychotomous regression outputs is emphasized, as well as providing illustration of the practical aspects of the statistical method.
涉及两种以上疾病和对照类别的病例对照研究可以通过多分类逻辑回归进行分析，这是通常的二分逻辑回归模型的扩展。虽然标准方法仍可用于成对比较几个疾病亚组，但多分类方法的优势在于它允许同时估计疾病特异性参数，并直接对涉及多个疾病类别的假设进行检验。这对于评估不同疾病类型是否具有不同的风险因素特别有用。该方法应用于一项大型乳腺癌病例对照研究，该研究涉及三种疾病类别，同时考虑了分类和连续风险因素。文中强调了对多分类回归输出进行实质性的流行病学解释，以及对该统计方法实际应用方面的说明。
