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A simple method for estimating relative risk using logistic regression

BACKGROUND: Odds ratios (OR) significantly overestimate associations between risk factors and common outcomes. The estimation of relative risks (RR) or prevalence ratios (PR) has represented a statistical challenge in multivariate analysis and, furthermore, some researchers do not have access to the...

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Autor principal: Diaz-Quijano, Fredi A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305608/
https://www.ncbi.nlm.nih.gov/pubmed/22335836
http://dx.doi.org/10.1186/1471-2288-12-14
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author Diaz-Quijano, Fredi A
author_facet Diaz-Quijano, Fredi A
author_sort Diaz-Quijano, Fredi A
collection PubMed
description BACKGROUND: Odds ratios (OR) significantly overestimate associations between risk factors and common outcomes. The estimation of relative risks (RR) or prevalence ratios (PR) has represented a statistical challenge in multivariate analysis and, furthermore, some researchers do not have access to the available methods. Objective: To propose and evaluate a new method for estimating RR and PR by logistic regression. METHODS: A provisional database was designed in which events were duplicated but identified as non-events. After, a logistic regression was performed and effect measures were calculated, which were considered RR estimations. This method was compared with binomial regression, Cox regression with robust variance and ordinary logistic regression in analyses with three outcomes of different frequencies. RESULTS: ORs estimated by ordinary logistic regression progressively overestimated RRs as the outcome frequency increased. RRs estimated by Cox regression and the method proposed in this article were similar to those estimated by binomial regression for every outcome. However, confidence intervals were wider with the proposed method. CONCLUSION: This simple tool could be useful for calculating the effect of risk factors and the impact of health interventions in developing countries when other statistical strategies are not available.
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spelling pubmed-33056082012-03-16 A simple method for estimating relative risk using logistic regression Diaz-Quijano, Fredi A BMC Med Res Methodol Research Article BACKGROUND: Odds ratios (OR) significantly overestimate associations between risk factors and common outcomes. The estimation of relative risks (RR) or prevalence ratios (PR) has represented a statistical challenge in multivariate analysis and, furthermore, some researchers do not have access to the available methods. Objective: To propose and evaluate a new method for estimating RR and PR by logistic regression. METHODS: A provisional database was designed in which events were duplicated but identified as non-events. After, a logistic regression was performed and effect measures were calculated, which were considered RR estimations. This method was compared with binomial regression, Cox regression with robust variance and ordinary logistic regression in analyses with three outcomes of different frequencies. RESULTS: ORs estimated by ordinary logistic regression progressively overestimated RRs as the outcome frequency increased. RRs estimated by Cox regression and the method proposed in this article were similar to those estimated by binomial regression for every outcome. However, confidence intervals were wider with the proposed method. CONCLUSION: This simple tool could be useful for calculating the effect of risk factors and the impact of health interventions in developing countries when other statistical strategies are not available. BioMed Central 2012-02-15 /pmc/articles/PMC3305608/ /pubmed/22335836 http://dx.doi.org/10.1186/1471-2288-12-14 Text en Copyright ©2012 Diaz-Quijano; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Diaz-Quijano, Fredi A
A simple method for estimating relative risk using logistic regression
title A simple method for estimating relative risk using logistic regression
title_full A simple method for estimating relative risk using logistic regression
title_fullStr A simple method for estimating relative risk using logistic regression
title_full_unstemmed A simple method for estimating relative risk using logistic regression
title_short A simple method for estimating relative risk using logistic regression
title_sort simple method for estimating relative risk using logistic regression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305608/
https://www.ncbi.nlm.nih.gov/pubmed/22335836
http://dx.doi.org/10.1186/1471-2288-12-14
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