Estimating adjusted prevalence ratio in clustered cross-sectional epidemiological data
Open Access
- 16 December 2008
- journal article
- Published by Springer Science and Business Media LLC in BMC Medical Research Methodology
- Vol. 8 (1), 80
- https://doi.org/10.1186/1471-2288-8-80
Abstract
Many epidemiologic studies report the odds ratio as a measure of association for cross-sectional studies with common outcomes. In such cases, the prevalence ratios may not be inferred from the estimated odds ratios. This paper overviews the most commonly used procedures to obtain adjusted prevalence ratios and extends the discussion to the analysis of clustered cross-sectional studies.Keywords
This publication has 48 references indexed in Scilit:
- Impact of Long-Term Treatment with Ivermectin on the Prevalence and Intensity of Soil-Transmitted Helminth InfectionsPLoS Neglected Tropical Diseases, 2008
- A comparison of two methods for estimating prevalence ratiosBMC Medical Research Methodology, 2008
- A simulation study of sample size for multilevel logistic regression modelsBMC Medical Research Methodology, 2007
- Random-Effects Models in Investigating the Effect of Vitamin A in Childhood DiarrheaAnnals of Epidemiology, 2006
- Global Epidemiology, Ecology and Control of Soil-Transmitted Helminth InfectionsAdvances in Parasitology, 2006
- Model-based Estimation of Relative Risks and Other Epidemiologic Measures in Studies of Common Outcomes and in Case-Control StudiesAmerican Journal of Epidemiology, 2004
- Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratioBMC Medical Research Methodology, 2003
- Use of the prevalence ratio v the prevalence odds ratio as a measure of risk in cross sectional studies.Occupational and Environmental Medicine, 1994
- Large sample confidence intervals for regression standardized risks, risk ratios, and risk differencesJournal of Chronic Diseases, 1987
- A comparison of direct adjustment and regression adjustment of epidemiologic measuresJournal of Chronic Diseases, 1985