Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Guertin, Jason R., Rahme, Elham, Dormuth, Colin R., LeLorier, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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
_version_ 1782416771262709760
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
work_keys_str_mv AT guertinjasonr headtoheadcomparisonofthepropensityscoreandthehighdimensionalpropensityscorematchingmethods
AT rahmeelham headtoheadcomparisonofthepropensityscoreandthehighdimensionalpropensityscorematchingmethods
AT dormuthcolinr headtoheadcomparisonofthepropensityscoreandthehighdimensionalpropensityscorematchingmethods
AT lelorierjacques headtoheadcomparisonofthepropensityscoreandthehighdimensionalpropensityscorematchingmethods