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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Authors | M M Joffe, S Greenland |
Journal | Statistics in medicine
(Stat Med)
Vol. 14
Issue 19
Pg. 2131-41
(Oct 15 1995)
ISSN: 0277-6715 [Print] England |
PMID | 8552892
(Publication Type: Clinical Trial, Controlled Clinical Trial, Journal Article, Research Support, U.S. Gov't, P.H.S.)
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Chemical References |
- Anti-Inflammatory Agents
- Autoantibodies
- Immunosuppressive Agents
- Azathioprine
- Prednisone
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Topics |
- Algorithms
- Anti-Inflammatory Agents
(immunology)
- Autoantibodies
(immunology)
- Azathioprine
(immunology)
- Confidence Intervals
- Confounding Factors, Epidemiologic
- Data Interpretation, Statistical
- Humans
- Immunosuppressive Agents
(immunology)
- Models, Statistical
- Odds Ratio
- Polymyositis
(drug therapy)
- Prednisone
(immunology)
- Regression Analysis
- Statistics, Nonparametric
- Treatment Outcome
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