We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Prevalence proportion ratios: estimation and hypothesis testing.
- Authors
Skov, T; Deddens, J; Petersen, M R; Endahl, L
- Abstract
Recent 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.
- Publication
International journal of epidemiology, 1998, Vol 27, Issue 1, p91
- ISSN
0300-5771
- Publication type
Journal Article
- DOI
10.1093/ije/27.1.91