Résumé :
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[BDSP. Notice produite par INIST-CNRS zoqR0xDW. Diffusion soumise à autorisation]. Epidemiologists frequently encounter studies with ordered responses. Standard ordered response logit models, such as the continuation ratio model, constrain exposure to have a homogenous effect across thresholds of the ordered response. We demonstrate a method for fitting regression models for unconstrained, partially or fully constrained continuation odds ratios using a'person-threshold'data set. For each subject, we create a separate record for each response threshold the subject is'at risk'of passing and then apply standard binary logistic regression to estimate the continuation-ratio model. An example demonstrates the unconstrained, partially and fully constrained continuation-ratio model, while a small simulation study examines some properties of the proposed'person-threshold'approach. Finally, we present a brief discussion of statistical software to implement the method.
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