ArticleInternational journal of epidemiology2018
Evaluating large-scale propensity score performance through real-world and synthetic data experiments.
Article in International journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 7 of them syntheses that pooled it.
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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
113 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Proton pump inhibitors and chronic kidney disease risk: a comparative study with histamine-2 receptor antagonists.Scientific reports · 2023Pooled it
- Impact of symptomatic menopausal transition on the occurrence of depression, anxiety, and sleep disorders: A real-world multi-site study.European psychiatry : the journal of the Association of European Psychiatrists · 2023Pooled it
- Ranitidine Use and Incident Cancer in a Multinational Cohort.JAMA network open · 2023Pooled it
- Pooled it
- Comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with different covid-19 vaccines: international network cohort study from five European countries and the US.BMJ (Clinical research ed.) · 2022Pooled it
- Aspirin, metformin, and statin use on the risk of gastric cancer: A nationwide population-based cohort study in Korea with systematic review and meta-analysis.Cancer medicine · 2022Pooled it
- Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis.Lancet (London, England) · 2019Pooled it
- Observational methods for COVID-19 vaccine effectiveness research: an empirical evaluation and target trial emulation.International journal of epidemiology · 2024Trial
- Evaluating large-scale propensity score adjustment when sample size is small.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Semaglutide and Neovascular Age-Related Macular Degeneration among Adults with Type 2 Diabetes: An Observational Health Data Sciences and Informatics Network Study.Ophthalmology · 2026Observational
- Beyond Single-Score Matching: A Two-Dimensional Propensity Score Method for Mixed Covariate Types.Research square · 2026Article
- Heterogeneity of Treatment Effects Across Nine Glucose-Lowering Drug Classes in Type 2 Diabetes: Extension of the LEGEND-T2DM Network Study.Diabetes, obesity & metabolism · 2026Observational
- Active Safety Surveillance Using Real-World Evidence (ASSURE) Implementation: Transparent and Reproducible Real-World Evidence Standardized Framework to Support Safety Signal Evaluation.Pharmacoepidemiology and drug safety · 2026Article
- Active surveillance of drug safety in healthcare data: Sequential monitoring of bacterial and serious urinary tract infection risk in sodium-glucose cotransporter 2 inhibitor users.British journal of clinical pharmacology · 2026Article
- Real-world performance of large-scale propensity score adjustment strategies: Matching, weighting, and stratification.Research square · 2026Article
- Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus.Journal of the American College of Cardiology · 2026Article
- Optimizing Use of Real-World Data in Regulatory Decision Making for Medical Devices Used in Surgical Procedures.Pharmacoepidemiology and drug safety · 2026Review
- Real-world evidence for comparative safety of second-line antihyperglycemic agents in older adults with type 2 diabetes.Nature communications · 2026Article
- Tuning LASSO Models for Propensity Score Weighting and Using Synthetic Negative Control Exposures for Residual Bias Detection.Statistics in medicine · 2026Article
- Article
53 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
Abstract
Background: Propensity score adjustment is a popular approach for confounding control in observational studies. Reliable frameworks are needed to determine relative propensity score performance in large-scale studies, and to establish optimal propensity score model selection methods. Methods: We detail a propensity score evaluation framework that includes synthetic and real-world data experiments. Our synthetic experimental design extends the 'plasmode' framework and simulates survival data under known effect sizes, and our real-world experiments use a set of negative control outcomes with presumed null effect sizes. In reproductions of two published cohort studies, we compare two propensity score estimation methods that contrast in their model selection approach: L1-regularized regression that conducts a penalized likelihood regression, and the 'high-dimensional propensity score' (hdPS) that employs a univariate covariate screen. We evaluate methods on a range of outcome-dependent and outcome-independent metrics. Results: L1-regularization propensity score methods achieve superior model fit, covariate balance and negative control bias reduction compared with the hdPS. Simulation results are mixed and fluctuate with simulation parameters, revealing a limitation of simulation under the proportional hazards framework. Including regularization with the hdPS reduces commonly reported non-convergence issues but has little effect on propensity score performance. Conclusions: L1-regularization incorporates all covariates simultaneously into the propensity score model and offers propensity score performance superior to the hdPS marginal screen.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.