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Epidemiological Methods: About Time
Epidemiological studies often produce false positive results due to use of statistical approaches that either ignore or distort time. The three time-related issues of focus in this discussion are: (1) cross-sectional vs. cohort studies, (2) statistical significance vs. public health significance, an...
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Formato: | Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819774/ https://www.ncbi.nlm.nih.gov/pubmed/20195431 http://dx.doi.org/10.3390/ijerph7010029 |
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author | Kraemer, Helena Chmura |
author_facet | Kraemer, Helena Chmura |
author_sort | Kraemer, Helena Chmura |
collection | PubMed |
description | Epidemiological studies often produce false positive results due to use of statistical approaches that either ignore or distort time. The three time-related issues of focus in this discussion are: (1) cross-sectional vs. cohort studies, (2) statistical significance vs. public health significance, and (3), how risk factors “work together” to impact public health significance. The issue of time should be central to all thinking in epidemiology research, affecting sampling, measurement, design, analysis and, perhaps most important, the interpretation of results that might influence clinical and public-health decision-making and subsequent clinical research. |
format | Text |
id | pubmed-2819774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-28197742010-03-01 Epidemiological Methods: About Time Kraemer, Helena Chmura Int J Environ Res Public Health Article Epidemiological studies often produce false positive results due to use of statistical approaches that either ignore or distort time. The three time-related issues of focus in this discussion are: (1) cross-sectional vs. cohort studies, (2) statistical significance vs. public health significance, and (3), how risk factors “work together” to impact public health significance. The issue of time should be central to all thinking in epidemiology research, affecting sampling, measurement, design, analysis and, perhaps most important, the interpretation of results that might influence clinical and public-health decision-making and subsequent clinical research. Molecular Diversity Preservation International (MDPI) 2010-01 2009-12-31 /pmc/articles/PMC2819774/ /pubmed/20195431 http://dx.doi.org/10.3390/ijerph7010029 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Kraemer, Helena Chmura Epidemiological Methods: About Time |
title | Epidemiological Methods: About Time |
title_full | Epidemiological Methods: About Time |
title_fullStr | Epidemiological Methods: About Time |
title_full_unstemmed | Epidemiological Methods: About Time |
title_short | Epidemiological Methods: About Time |
title_sort | epidemiological methods: about time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819774/ https://www.ncbi.nlm.nih.gov/pubmed/20195431 http://dx.doi.org/10.3390/ijerph7010029 |
work_keys_str_mv | AT kraemerhelenachmura epidemiologicalmethodsabouttime |