✦ LIBER ✦

Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

✍ Scribed by Aluísio JD Barros; Vânia N Hirakata

Book ID: 115008636
Publisher: BioMed Central
Year: 2003
Tongue: English
Weight: 307 KB
Volume: 3
Category: Article
ISSN: 1471-2288
DOI: 10.1186/1471-2288-3-21

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Alternatives for logistic regression in

Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

✍ Aluísio JD Barros; Vânia N Hirakata 📂 Article 📅 2003 🏛 BioMed Central 🌐 English ⚖ 307 KB

Measures and models for causal inference

Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression

✍ Michael E Reichenheim; Evandro SF Coutinho 📂 Article 📅 2010 🏛 BioMed Central 🌐 English ⚖ 1014 KB

Complementary Log–Log Regression for the

Complementary Log–Log Regression for the Estimation of Covariate-Adjusted Prevalence Ratios in the Analysis of Data from Cross-Sectional Studies

✍ Alan D. Penman; William D. Johnson 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 148 KB 👁 2 views

## Abstract We assessed complementary log–log (CLL) regression as an alternative statistical model for estimating multivariable‐adjusted prevalence ratios (PR) and their confidence intervals. Using the delta method, we derived an expression for approximating the variance of the PR estimated using C