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Effect Measures in Prevalence Studies

There is still considerable confusion and debate about the appropriate methods for analyzing prevalence studies, and a number of recent papers have argued that prevalence ratios are the preferred method and that prevalence odds ratios should not be used. These arguments assert that the prevalence ra...

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Detalles Bibliográficos
Autor principal: Pearce, Neil
Formato: Texto
Lenguaje:English
Publicado: National Institue of Environmental Health Sciences 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247374/
https://www.ncbi.nlm.nih.gov/pubmed/15238274
http://dx.doi.org/10.1289/ehp.6927
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author Pearce, Neil
author_facet Pearce, Neil
author_sort Pearce, Neil
collection PubMed
description There is still considerable confusion and debate about the appropriate methods for analyzing prevalence studies, and a number of recent papers have argued that prevalence ratios are the preferred method and that prevalence odds ratios should not be used. These arguments assert that the prevalence ratio is obviously the better measure and the odds ratio is “unintelligible.” They have often been accompanied by demonstrations that when a disease is common the prevalence ratio and the prevalence odds ratio may differ substantially. However, this does not tell us which measure is the more valid to use. In fact, the prevalence odds ratio a) estimates the incidence rate ratio with fewer assumptions than are required for the prevalence ratio; b) can be estimated using the same methods as for the odds ratio in case–control studies, namely, the Mantel–Haenszel method and logistic regression; and c) provides practical, analytical, and theoretical consistency between analyses of a prevalence study and prevalence case–control analyses based on the same study population. For these reasons, the prevalence odds ratio will continue to be one of the standard methods for analyzing prevalence studies and prevalence case–control studies.
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spelling pubmed-12473742005-11-08 Effect Measures in Prevalence Studies Pearce, Neil Environ Health Perspect Research There is still considerable confusion and debate about the appropriate methods for analyzing prevalence studies, and a number of recent papers have argued that prevalence ratios are the preferred method and that prevalence odds ratios should not be used. These arguments assert that the prevalence ratio is obviously the better measure and the odds ratio is “unintelligible.” They have often been accompanied by demonstrations that when a disease is common the prevalence ratio and the prevalence odds ratio may differ substantially. However, this does not tell us which measure is the more valid to use. In fact, the prevalence odds ratio a) estimates the incidence rate ratio with fewer assumptions than are required for the prevalence ratio; b) can be estimated using the same methods as for the odds ratio in case–control studies, namely, the Mantel–Haenszel method and logistic regression; and c) provides practical, analytical, and theoretical consistency between analyses of a prevalence study and prevalence case–control analyses based on the same study population. For these reasons, the prevalence odds ratio will continue to be one of the standard methods for analyzing prevalence studies and prevalence case–control studies. National Institue of Environmental Health Sciences 2004-07 2004-03-18 /pmc/articles/PMC1247374/ /pubmed/15238274 http://dx.doi.org/10.1289/ehp.6927 Text en This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original DOI.
spellingShingle Research
Pearce, Neil
Effect Measures in Prevalence Studies
title Effect Measures in Prevalence Studies
title_full Effect Measures in Prevalence Studies
title_fullStr Effect Measures in Prevalence Studies
title_full_unstemmed Effect Measures in Prevalence Studies
title_short Effect Measures in Prevalence Studies
title_sort effect measures in prevalence studies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247374/
https://www.ncbi.nlm.nih.gov/pubmed/15238274
http://dx.doi.org/10.1289/ehp.6927
work_keys_str_mv AT pearceneil effectmeasuresinprevalencestudies