Comparison of Propensity Score Weighting Methods to Remove Selection Bias in Average Treatment Effect Estimates

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dc.contributor.authorGürel, Sungur
dc.contributor.authorLeite, Walter Lana
dc.date.accessioned2024-12-24T19:18:09Z
dc.date.available2024-12-24T19:18:09Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractIn this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting, propensity score stratification, marginal mean weighting through propensity score stratification, optimal full propensity score matching, and marginal mean weighting through optimal full propensity score matching. These methods aim to reduce selection bias in estimates of the average treatment effect (ATE) in observational studies. For the estimation of standard errors of the ATE with weights, three methods were compared: weighted least squares (WLS), Taylor series linearization (TSL), and jackknife (JK). Results indicated that covariance adjustment extensions of the investigated propensity score methods, in combination with TSL and JK standard error estimation methods, remove the selection bias appropriately and provide the most accurate standard errors under the simulated conditions.
dc.identifier.doi10.46778/goputeb.1312865
dc.identifier.endpage1031
dc.identifier.issn2148-2314
dc.identifier.issue21
dc.identifier.startpage989
dc.identifier.trdizinid1208479
dc.identifier.urihttps://doi.org/10.46778/goputeb.1312865
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1208479
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4980
dc.identifier.volume2023
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofUluslararası Türk Eğitim Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectObservational Study
dc.subjectPropensity Score Methods
dc.subjectAverage Treatment Effect
dc.subjectStandard Error
dc.titleComparison of Propensity Score Weighting Methods to Remove Selection Bias in Average Treatment Effect Estimates
dc.typeArticle

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