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PubMed · 8552892

Standardized estimates from categorical regression models.

M M Joffe·S Greenland
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Abstract

We consider the problem of interpreting categorical regression models, such as the polytomous logistic model, the continuation-ratio model, the stereotype model, and the cumulative-odds model. We present a method to convert categorical regression coefficients into estimates of standardized fitted probabilities, probability differences and probability ratios. We use a delta-method approach to estimate standard errors. We then present a small simulation study to compare different transforms for setting confidence limits, and provide an illustration of our approach in an observational study of drug therapy of polymyositis.

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AlgorithmsAnti-Inflammatory AgentsAutoantibodiesAzathioprineConfidence IntervalsConfounding Factors, EpidemiologicData Interpretation, StatisticalHumansImmunosuppressive AgentsModels, StatisticalOdds RatioPolymyositisPrednisoneRegression AnalysisStatistics, NonparametricTreatment OutcomeClinical TrialControlled Clinical TrialJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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M M Joffe, S Greenland. 1995-10-15. Standardized estimates from categorical regression models.. https://doi.org/10.1002/sim.4780141907

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