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Evaluating Epidemiological Evidence: A Simple Test
Epidemiological studies that investigate the relationships between health behaviors and diseases may be affected by both known and unknown confounding factors. Alcohol use is one of these behaviors that have been intensively investigated in epidemiological studies. This manuscript introduced a simpl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Ivyspring International Publisher
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775101/ https://www.ncbi.nlm.nih.gov/pubmed/24046518 http://dx.doi.org/10.7150/ijms.6455 |
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author | Liang, Wenbin |
author_facet | Liang, Wenbin |
author_sort | Liang, Wenbin |
collection | PubMed |
description | Epidemiological studies that investigate the relationships between health behaviors and diseases may be affected by both known and unknown confounding factors. Alcohol use is one of these behaviors that have been intensively investigated in epidemiological studies. This manuscript introduced a simple test that can identify confounded epidemiological studies. This approach is sensitive to both known and unknown confounders. It provides a new perspective to develop measures for evidence selection in the future. |
format | Online Article Text |
id | pubmed-3775101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-37751012013-09-17 Evaluating Epidemiological Evidence: A Simple Test Liang, Wenbin Int J Med Sci Short Research Communication Epidemiological studies that investigate the relationships between health behaviors and diseases may be affected by both known and unknown confounding factors. Alcohol use is one of these behaviors that have been intensively investigated in epidemiological studies. This manuscript introduced a simple test that can identify confounded epidemiological studies. This approach is sensitive to both known and unknown confounders. It provides a new perspective to develop measures for evidence selection in the future. Ivyspring International Publisher 2013-08-28 /pmc/articles/PMC3775101/ /pubmed/24046518 http://dx.doi.org/10.7150/ijms.6455 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. |
spellingShingle | Short Research Communication Liang, Wenbin Evaluating Epidemiological Evidence: A Simple Test |
title | Evaluating Epidemiological Evidence: A Simple Test |
title_full | Evaluating Epidemiological Evidence: A Simple Test |
title_fullStr | Evaluating Epidemiological Evidence: A Simple Test |
title_full_unstemmed | Evaluating Epidemiological Evidence: A Simple Test |
title_short | Evaluating Epidemiological Evidence: A Simple Test |
title_sort | evaluating epidemiological evidence: a simple test |
topic | Short Research Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775101/ https://www.ncbi.nlm.nih.gov/pubmed/24046518 http://dx.doi.org/10.7150/ijms.6455 |
work_keys_str_mv | AT liangwenbin evaluatingepidemiologicalevidenceasimpletest |