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BIBTEX RIS

Prevalence proportion ratios: estimation and hypothesis testing

1998; Oxford University Press; Volume: 27; Issue: 1 Linguagem: Inglês

10.1093/ije/27.1.91

ISSN

1464-3685

Autores

T. skove, James A. Deddens, Martin R. Petersen, Lars Endahl,

Tópico(s)

Advanced Statistical Methods and Models

Resumo

BackgroundRecent communications have argued that often it may not be appropriate to analyse cross-sectional studies of prevalent outcomes with logistic regression models. The purpose of this communication is to compare three methods that have been proposed for application to cross sectional studies: (1) a multiplicative generalized linear model, which we will call the log-binomial model. (2) a method based on logistic regression and robust estimation of standard errors, which we will call the GEE-logistic model, and (3) a Cox regression model.

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