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A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease

In clinical trials and observational studies, the effect of an intervention or exposure can be reported as an absolute or relative comparative measure such as risk difference, odds ratio or risk ratio, or at the group level with the estimated risk of disease in each group. For meta-analysis of resul...

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Detalles Bibliográficos
Autores principales: Hu, Dapeng, Wang, Chong, O’Connor, Annette M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053742/
https://www.ncbi.nlm.nih.gov/pubmed/32126072
http://dx.doi.org/10.1371/journal.pone.0222690
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author Hu, Dapeng
Wang, Chong
O’Connor, Annette M.
author_facet Hu, Dapeng
Wang, Chong
O’Connor, Annette M.
author_sort Hu, Dapeng
collection PubMed
description In clinical trials and observational studies, the effect of an intervention or exposure can be reported as an absolute or relative comparative measure such as risk difference, odds ratio or risk ratio, or at the group level with the estimated risk of disease in each group. For meta-analysis of results with covariate adjustment, the log of the odds ratio (log odds ratio), with its standard error, is a commonly used measure of effect. However, extracting the adjusted log odds ratio from the reported estimates of disease risk in each group is not straightforward. Here, we propose a method to transform the adjusted probability of the event in each group to the log of the odds ratio and obtain the appropriate (approximate) standard error, which can then be used in a meta-analysis. We also use example data to compare our method with two other methods and show that our method is superior in calculating the standard error of the log odds ratio.
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spelling pubmed-70537422020-03-12 A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease Hu, Dapeng Wang, Chong O’Connor, Annette M. PLoS One Research Article In clinical trials and observational studies, the effect of an intervention or exposure can be reported as an absolute or relative comparative measure such as risk difference, odds ratio or risk ratio, or at the group level with the estimated risk of disease in each group. For meta-analysis of results with covariate adjustment, the log of the odds ratio (log odds ratio), with its standard error, is a commonly used measure of effect. However, extracting the adjusted log odds ratio from the reported estimates of disease risk in each group is not straightforward. Here, we propose a method to transform the adjusted probability of the event in each group to the log of the odds ratio and obtain the appropriate (approximate) standard error, which can then be used in a meta-analysis. We also use example data to compare our method with two other methods and show that our method is superior in calculating the standard error of the log odds ratio. Public Library of Science 2020-03-03 /pmc/articles/PMC7053742/ /pubmed/32126072 http://dx.doi.org/10.1371/journal.pone.0222690 Text en © 2020 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hu, Dapeng
Wang, Chong
O’Connor, Annette M.
A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title_full A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title_fullStr A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title_full_unstemmed A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title_short A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
title_sort method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053742/
https://www.ncbi.nlm.nih.gov/pubmed/32126072
http://dx.doi.org/10.1371/journal.pone.0222690
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