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Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study
BACKGROUND: In any study with voluntary participation, self-selection risks leading to invalid conclusions. If the determinants of selection are observed, it is however possible to restore the parameters of interest by reweighting the sample to match the population, but this approach has seldom been...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747383/ https://www.ncbi.nlm.nih.gov/pubmed/33334333 http://dx.doi.org/10.1186/s12889-020-10004-z |
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author | Nilsson, Anton Bonander, Carl Strömberg, Ulf Björk, Jonas |
author_facet | Nilsson, Anton Bonander, Carl Strömberg, Ulf Björk, Jonas |
author_sort | Nilsson, Anton |
collection | PubMed |
description | BACKGROUND: In any study with voluntary participation, self-selection risks leading to invalid conclusions. If the determinants of selection are observed, it is however possible to restore the parameters of interest by reweighting the sample to match the population, but this approach has seldom been applied in epidemiological research. METHODS: We reweighted the Malmö Diet and Cancer (MDC) study based on population register data on background variables, including socio-demographics and hospital admissions for both participants and the background population. Following individuals from baseline in 1991–1996 and at most until 2016, we studied mortality (all-cause, cancer, and CVD), incidences (cancer and CVD), and associations between these outcomes and background variables. Results from the unweighted and reweighted participant sample were compared with those from the background population. RESULTS: Mortality was substantially lower in participants than in the background population, but reweighting the sample helped only little to make the numbers similar to those in the background population. For incidences and associations, numbers were generally similar between participants and the background population already without reweighting, rendering reweighting unnecessary. CONCLUSION: Reweighting samples based on an extensive range of sociodemographic characteristics and previous hospitalizations does not necessarily yield results that are valid for the population as a whole. In the case of MDC, there appear to be important factors related to both mortality and selection into the study that are not observable in registry data, making it difficult to obtain accurate numbers on population mortality based on cohort participants. These issues seem less relevant for incidences and associations, however. Overall, our results suggest that representativeness must be judged on a case-by-case basis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10004-z. |
format | Online Article Text |
id | pubmed-7747383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77473832020-12-21 Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study Nilsson, Anton Bonander, Carl Strömberg, Ulf Björk, Jonas BMC Public Health Research Article BACKGROUND: In any study with voluntary participation, self-selection risks leading to invalid conclusions. If the determinants of selection are observed, it is however possible to restore the parameters of interest by reweighting the sample to match the population, but this approach has seldom been applied in epidemiological research. METHODS: We reweighted the Malmö Diet and Cancer (MDC) study based on population register data on background variables, including socio-demographics and hospital admissions for both participants and the background population. Following individuals from baseline in 1991–1996 and at most until 2016, we studied mortality (all-cause, cancer, and CVD), incidences (cancer and CVD), and associations between these outcomes and background variables. Results from the unweighted and reweighted participant sample were compared with those from the background population. RESULTS: Mortality was substantially lower in participants than in the background population, but reweighting the sample helped only little to make the numbers similar to those in the background population. For incidences and associations, numbers were generally similar between participants and the background population already without reweighting, rendering reweighting unnecessary. CONCLUSION: Reweighting samples based on an extensive range of sociodemographic characteristics and previous hospitalizations does not necessarily yield results that are valid for the population as a whole. In the case of MDC, there appear to be important factors related to both mortality and selection into the study that are not observable in registry data, making it difficult to obtain accurate numbers on population mortality based on cohort participants. These issues seem less relevant for incidences and associations, however. Overall, our results suggest that representativeness must be judged on a case-by-case basis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10004-z. BioMed Central 2020-12-17 /pmc/articles/PMC7747383/ /pubmed/33334333 http://dx.doi.org/10.1186/s12889-020-10004-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nilsson, Anton Bonander, Carl Strömberg, Ulf Björk, Jonas Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title | Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title_full | Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title_fullStr | Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title_full_unstemmed | Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title_short | Can the validity of a cohort be improved by reweighting based on register data? Evidence from the Swedish MDC study |
title_sort | can the validity of a cohort be improved by reweighting based on register data? evidence from the swedish mdc study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747383/ https://www.ncbi.nlm.nih.gov/pubmed/33334333 http://dx.doi.org/10.1186/s12889-020-10004-z |
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