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Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
BACKGROUND: Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759710/ https://www.ncbi.nlm.nih.gov/pubmed/26891796 http://dx.doi.org/10.1186/s12874-016-0119-1 |
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author | Guertin, Jason R. Rahme, Elham Dormuth, Colin R. LeLorier, Jacques |
author_facet | Guertin, Jason R. Rahme, Elham Dormuth, Colin R. LeLorier, Jacques |
author_sort | Guertin, Jason R. |
collection | PubMed |
description | BACKGROUND: Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the context of the risk of diabetes among patients exposed to moderate versus high potency statins. METHOD: A cohort of diabetes-free incident statins users was identified from the Quebec’s publicly funded medico-administrative database (Full Cohort). We created two matched sub-cohorts by matching one patient initiated on a lower potency to one patient initiated on a high potency either on patients’ PS or hdPS. Both methods’ performance were compared by means of the absolute standardized differences (ASDD) regarding relevant characteristics and by means of the obtained measures of association. RESULTS: Eight out of the 18 examined characteristics were shown to be unbalanced within the Full Cohort. Although matching on either method achieved balance within all examined characteristic, matching on patients’ hdPS created the most balanced sub-cohort. Measures of associations and confidence intervals obtained within the two matched sub-cohorts overlapped. CONCLUSION: Although ASDD suggest better matching with hdPS than with PS, measures of association were almost identical when adjusted for either method. Use of the hdPS method in adjusting for confounding by indication within future studies should be recommended due to its ability to identify confounding variables which may be unknown to the investigators. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0119-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4759710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47597102016-02-20 Head to head comparison of the propensity score and the high-dimensional propensity score matching methods Guertin, Jason R. Rahme, Elham Dormuth, Colin R. LeLorier, Jacques BMC Med Res Methodol Research Article BACKGROUND: Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the context of the risk of diabetes among patients exposed to moderate versus high potency statins. METHOD: A cohort of diabetes-free incident statins users was identified from the Quebec’s publicly funded medico-administrative database (Full Cohort). We created two matched sub-cohorts by matching one patient initiated on a lower potency to one patient initiated on a high potency either on patients’ PS or hdPS. Both methods’ performance were compared by means of the absolute standardized differences (ASDD) regarding relevant characteristics and by means of the obtained measures of association. RESULTS: Eight out of the 18 examined characteristics were shown to be unbalanced within the Full Cohort. Although matching on either method achieved balance within all examined characteristic, matching on patients’ hdPS created the most balanced sub-cohort. Measures of associations and confidence intervals obtained within the two matched sub-cohorts overlapped. CONCLUSION: Although ASDD suggest better matching with hdPS than with PS, measures of association were almost identical when adjusted for either method. Use of the hdPS method in adjusting for confounding by indication within future studies should be recommended due to its ability to identify confounding variables which may be unknown to the investigators. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0119-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-19 /pmc/articles/PMC4759710/ /pubmed/26891796 http://dx.doi.org/10.1186/s12874-016-0119-1 Text en © Guertin et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Guertin, Jason R. Rahme, Elham Dormuth, Colin R. LeLorier, Jacques Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title | Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title_full | Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title_fullStr | Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title_full_unstemmed | Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title_short | Head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
title_sort | head to head comparison of the propensity score and the high-dimensional propensity score matching methods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759710/ https://www.ncbi.nlm.nih.gov/pubmed/26891796 http://dx.doi.org/10.1186/s12874-016-0119-1 |
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