Standardized estimates from categorical regression models.
Stat Med
; 14(19): 2131-41, 1995 Oct 15.
Article
em En
| MEDLINE
| ID: mdl-8552892
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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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise de Regressão
/
Modelos Estatísticos
/
Estatísticas não Paramétricas
Tipo de estudo:
Clinical_trials
/
Diagnostic_studies
/
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Stat Med
Ano de publicação:
1995
Tipo de documento:
Article
País de afiliação:
Estados Unidos