An easy approach to the Robins-Breslow-Greenland variance estimator
The Mantel-Haenszel estimate for the odds ratio (and its logarithm) in stratified case control studies lacked a generally acceptable variance estimate for many years. The Robins-Breslow-Greenland estimate has met this need, but standard textbooks still do not provide an explanation of how it is deri...
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ftpubmed:oai:pubmedcentral.nih.gov:1270683 2023-05-15T16:25:01+02:00 An easy approach to the Robins-Breslow-Greenland variance estimator Silcocks, Paul 2005-09-26 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1270683 http://www.ncbi.nlm.nih.gov/pubmed/16185354 https://doi.org/10.1186/1742-5573-2-9 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1270683 http://www.ncbi.nlm.nih.gov/pubmed/16185354 http://dx.doi.org/10.1186/1742-5573-2-9 Copyright © 2005 Silcocks; 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. CC-BY Methodology Text 2005 ftpubmed https://doi.org/10.1186/1742-5573-2-9 2013-08-30T16:31:54Z The Mantel-Haenszel estimate for the odds ratio (and its logarithm) in stratified case control studies lacked a generally acceptable variance estimate for many years. The Robins-Breslow-Greenland estimate has met this need, but standard textbooks still do not provide an explanation of how it is derived. This article provides an accessible derivation which demonstrates the link between the Robins-Breslow-Greenland estimate and the familiar Woolf estimate for the variance of the log odds ratio, and which could easily be included in Masters level courses in epidemiology. The relationships to the unconditional and conditional maximum likelihood estimates are also reviewed. Text Greenland PubMed Central (PMC) Greenland Epidemiologic Perspectives & Innovations 2 1 9 |
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English |
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Methodology |
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Methodology Silcocks, Paul An easy approach to the Robins-Breslow-Greenland variance estimator |
topic_facet |
Methodology |
description |
The Mantel-Haenszel estimate for the odds ratio (and its logarithm) in stratified case control studies lacked a generally acceptable variance estimate for many years. The Robins-Breslow-Greenland estimate has met this need, but standard textbooks still do not provide an explanation of how it is derived. This article provides an accessible derivation which demonstrates the link between the Robins-Breslow-Greenland estimate and the familiar Woolf estimate for the variance of the log odds ratio, and which could easily be included in Masters level courses in epidemiology. The relationships to the unconditional and conditional maximum likelihood estimates are also reviewed. |
format |
Text |
author |
Silcocks, Paul |
author_facet |
Silcocks, Paul |
author_sort |
Silcocks, Paul |
title |
An easy approach to the Robins-Breslow-Greenland variance estimator |
title_short |
An easy approach to the Robins-Breslow-Greenland variance estimator |
title_full |
An easy approach to the Robins-Breslow-Greenland variance estimator |
title_fullStr |
An easy approach to the Robins-Breslow-Greenland variance estimator |
title_full_unstemmed |
An easy approach to the Robins-Breslow-Greenland variance estimator |
title_sort |
easy approach to the robins-breslow-greenland variance estimator |
publisher |
BioMed Central |
publishDate |
2005 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1270683 http://www.ncbi.nlm.nih.gov/pubmed/16185354 https://doi.org/10.1186/1742-5573-2-9 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
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Greenland |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1270683 http://www.ncbi.nlm.nih.gov/pubmed/16185354 http://dx.doi.org/10.1186/1742-5573-2-9 |
op_rights |
Copyright © 2005 Silcocks; 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. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1186/1742-5573-2-9 |
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