ArticleBMC medical research methodology2016
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods.
Article in BMC medical research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- High-Dimensional Disease Risk Score for Dealing With Residual Confounding Bias in Estimating Treatment Effects With a Survival Outcome.Pharmacoepidemiology and drug safety · 2025Article
- Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.Scientific reports · 2025Article
- Article
- Targeted learning with an undersmoothed LASSO propensity score model for large-scale covariate adjustment in health-care database studies.American journal of epidemiology · 2024Article
- Article
- Telehealth Collaborative Care Led by Clinical Pharmacists for People With Psychosis or Bipolar Disorder: A Propensity Weighted Comparison With Usual Psychiatric Care.The Journal of clinical psychiatry · 2024Article
- High-dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting.Pharmacoepidemiology and drug safety · 2023Article
- Restricted Mean Survival Time Analysis to Estimate SGLT2i-Associated Heterogeneous Treatment Effects on Primary and Secondary Prevention of Cardiorenal Outcomes in Patients With Type 2 Diabetes in Taiwan.JAMA network open · 2022Article
- Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature.Pharmacoepidemiology and drug safety · 2022Review
- Effectiveness of spironolactone dispensation in reducing weekly alcohol use: a retrospective high-dimensional propensity score-matched cohort study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- A machine learning compatible method for ordinal propensity score stratification and matching.Statistics in medicine · 2021Article
- The Decline of the Experimental Paradigm During the COVID-19 Pandemic: A Template for the Future.The American journal of medicine · 2021Review
- A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record-derived study.Statistics in medicine · 2020Article
- The association of beta-blocker use with mortality in elderly patients with congestive heart failure and advanced chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020Article
- Comparing the high-dimensional propensity score for use with administrative data with propensity scores derived from high-quality clinical data.Statistical methods in medical research · 2020Observational
- Association between perioperative oral care and postoperative pneumonia after cancer resection: conventional versus high-dimensional propensity score matching analysis.Clinical oral investigations · 2019Article
- Risk of Hospitalization for Serious Adverse Gastrointestinal Events Associated With Sodium Polystyrene Sulfonate Use in Patients of Advanced Age.JAMA internal medicine · 2019Article
- Protocol registration or development may benefit the design, conduct and reporting of dose-response meta-analysis: empirical evidence from a literature survey.BMC medical research methodology · 2019Article
- Maternal Mental Health after Custody Loss and Death of a Child: A Retrospective Cohort Study Using Linkable Administrative Data.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2018Article
- Performance of the high-dimensional propensity score in adjusting for unmeasured confounders.European journal of clinical pharmacology · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundComparative 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.
methodA 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.
resultsEight 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.
conclusionAlthough 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.
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