ArticlePloS one2011
Weight trimming and propensity score weighting.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 2 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
187 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.Statistics in medicine · 2015Pooled it
- Anticoagulant vs. antiplatelet therapy in patients with cryptogenic stroke and patent foramen ovale: an individual participant data meta-analysis.European heart journal · 2015Pooled it
- Generalizability of the findings from a randomized controlled trial of a web-based substance use disorder intervention.The American journal on addictions · 2018Trial
- Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Trial
- Online community use predicts abstinence in combined Internet/phone intervention for smoking cessation.Journal of consulting and clinical psychology · 2016Trial
- Use of an online smoking cessation community promotes abstinence: Results of propensity score weighting.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2015Trial
- Potassium binders and continuation of renin-angiotensin system inhibitors/mineralocorticoid receptor antagonist in chronic kidney disease and heart failure (the DEMONSTRATE database).Journal of internal medicine · 2026Observational
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- Choosing Covariate Balancing Methods for Causal Inference: Practical Insights From a Simulation Study.Statistics in medicine · 2026Article
- Association of Prophylactic Corticosteroids with Post-Extubation Outcomes in Pediatric Cardiac Critical Care: A Retrospective Propensity-Weighted Cohort Study.Journal of clinical medicine · 2026Article
- Procedure time and 90-day outcomes after endovascular thrombectomy for large-core stroke.European stroke journal · 2026Observational
- The role of blue light-filtering and premium intraocular lenses on postoperative falls: A nationwide target trial emulation in Taiwan.Biomedical journal · 2026Article
- Methodological Challenges of Emulating a Target Trial to Assess Effectiveness of Timing of PCSK9 Inhibitor Treatment Initiation Post Myocardial Infarction.Pharmacoepidemiology and drug safety · 2026Article
- Estimating the Causal Effect of Tooth Loss on the Critical Outcome of COVID-19.JDR clinical and translational research · 2026Article
- Association between asthma and juvenile idiopathic arthritis in children in the United States: a propensity score weighted cross-sectional study.Pediatric rheumatology online journal · 2026Article
- Effect of fresh-frozen plasma transfusion on intraventricular hemorrhage risk in preterm infants with prolonged APTT: a target trial emulation with causal forest analysis.Frontiers in neuroscience · 2026Article
- Outcome-Assisted Multiple Imputation of Missing Treatments.Observational studies · 2026Article
- A Tutorial for Propensity Score Weighting Methods Under Violations of the Positivity Assumption.Statistics in medicine · 2025Article
- Robust Statistical Approaches to Understanding the Causal Effect of Air Pollution Mixtures.Research report (Health Effects Institute) · 2025Article
127 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
Abstract
Propensity score weighting is sensitive to model misspecification and outlying weights that can unduly influence results. The authors investigated whether trimming large weights downward can improve the performance of propensity score weighting and whether the benefits of trimming differ by propensity score estimation method. In a simulation study, the authors examined the performance of weight trimming following logistic regression, classification and regression trees (CART), boosted CART, and random forests to estimate propensity score weights. Results indicate that although misspecified logistic regression propensity score models yield increased bias and standard errors, weight trimming following logistic regression can improve the accuracy and precision of final parameter estimates. In contrast, weight trimming did not improve the performance of boosted CART and random forests. The performance of boosted CART and random forests without weight trimming was similar to the best performance obtainable by weight trimmed logistic regression estimated propensity scores. While trimming may be used to optimize propensity score weights estimated using logistic regression, the optimal level of trimming is difficult to determine. These results indicate that although trimming can improve inferences in some settings, in order to consistently improve the performance of propensity score weighting, analysts should focus on the procedures leading to the generation of weights (i.e., proper specification of the propensity score model) rather than relying on ad-hoc methods such as weight trimming.
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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.