Alternative parameterization of polychotomous models: theory and application to matched case-control studies.
A method is proposed for transforming a class of models having an outcome variable with more than two levels into an equivalent binary model. The polychotomous logistic model is used to demonstrate the method. The equivalency to a simple logistic regression model after some data transformation (augmentation) is shown. The method is applied to the data from two case-control studies each with two control groups, and further applications are indicated.
Becher
H
H
Institute of Epidemiology and Biometry, German Cancer Research Center, Heidelberg.
D001943:Breast Neoplasms / Q000453:epidemiology / Q000209:etiology; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008432:Mathematical Computing; D011044:Poland / Q000453:epidemiology; D012044:Regression Analysis; D012307:Risk Factors; D012984:Software; D013274:Stomach Neoplasms / Q000453:epidemiology / Q000209:etiology