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59,832 results

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Page 1
Reducing bias using propensity score matching.
Morgan CJ. Morgan CJ. J Nucl Cardiol. 2018 Apr;25(2):404-406. doi: 10.1007/s12350-017-1012-y. Epub 2017 Aug 3. J Nucl Cardiol. 2018. PMID: 28776312 No abstract available.
Propensity score analysis revisited.
Hashimoto Y, Yasunaga H. Hashimoto Y, et al. Ann Clin Epidemiol. 2025 Mar 14;7(3):99-104. doi: 10.37737/ace.25012. eCollection 2025 Jul 1. Ann Clin Epidemiol. 2025. PMID: 40697798 Free PMC article.
Propensity score (PS) is the probability of the exposure being assigned, conditional on the observed baseline covariates. ...This report reviews the five steps of PS analyses: 1) calculating PS; 2) checking the overlap of PS; 3) implementing a matching or wei …
Propensity score (PS) is the probability of the exposure being assigned, conditional on the observed baseline covariates. ...T …
Propensity-Score Matching: Optimal, Adequate, or Incomplete?
Reiffel JA. Reiffel JA. J Atr Fibrillation. 2018 Dec 31;11(4):2130. doi: 10.4022/jafib.2130. eCollection 2018 Dec. J Atr Fibrillation. 2018. PMID: 31139292 Free PMC article. Review.
In such studies, statistical adjustment by propensity-score matching (PSM) is commonly employed in an attempt to reduce bias from concomitant confounding variables (to correct for many baseline imbalances). ...
In such studies, statistical adjustment by propensity-score matching (PSM) is commonly employed in an attempt to reduce …
Propensity score method: a non-parametric technique to reduce model dependence.
Zhang Z. Zhang Z. Ann Transl Med. 2017 Jan;5(1):7. doi: 10.21037/atm.2016.08.57. Ann Transl Med. 2017. PMID: 28164092 Free PMC article.
Propensity score analysis (PSA) is a powerful technique that it balances pretreatment covariates, making the causal effect inference from observational data as reliable as possible. ...The article introduces rationales behind PSA, followed by illustrating how to per …
Propensity score analysis (PSA) is a powerful technique that it balances pretreatment covariates, making the causal effect inf …
Propensity Score Matching: The 'Devil is in the Details' Where More May Be Hidden than You Know.
Reiffel JA. Reiffel JA. Am J Med. 2020 Feb;133(2):178-181. doi: 10.1016/j.amjmed.2019.08.055. Epub 2019 Oct 13. Am J Med. 2020. PMID: 31618617 Review.
Propensity score matching has been used with increasing frequency in the analyses of non-prespecified subgroups of randomized clinical trials, and in retrospective analyses of clinical trial data sets, registries, observational studies, electronic medical rec …
Propensity score matching has been used with increasing frequency in the analyses of non-prespecified subgroups of rand …
Propensity score matching: a conceptual review for radiology researchers.
Baek S, Park SH, Won E, Park YR, Kim HJ. Baek S, et al. Korean J Radiol. 2015 Mar-Apr;16(2):286-96. doi: 10.3348/kjr.2015.16.2.286. Epub 2015 Feb 27. Korean J Radiol. 2015. PMID: 25741190 Free PMC article. Review.
Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of this article was to provide a step-by-step nonmathematical conceptual guide to propensity score analysis with particular emphasis …
Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of thi …
Propensity Score Methods for Bias Reduction in Observational Studies of Treatment Effect.
Johnson SR, Tomlinson GA, Hawker GA, Granton JT, Feldman BM. Johnson SR, et al. Rheum Dis Clin North Am. 2018 May;44(2):203-213. doi: 10.1016/j.rdc.2018.01.002. Rheum Dis Clin North Am. 2018. PMID: 29622292 Review.
Noncomparability of exposed and nonexposed subjects can lead to biased estimation of the treatment effect. The propensity score is a balancing score that can be used to form matched groups, or pairs, that are not systematically different and enable nonbiased …
Noncomparability of exposed and nonexposed subjects can lead to biased estimation of the treatment effect. The propensity score …
Propensity score matching and complex surveys.
Austin PC, Jembere N, Chiu M. Austin PC, et al. Stat Methods Med Res. 2018 Apr;27(4):1240-1257. doi: 10.1177/0962280216658920. Epub 2016 Jul 26. Stat Methods Med Res. 2018. PMID: 27460539 Free PMC article.
In such analyses, statistical methods are essential to minimize the effect of confounding due to measured covariates, as treated subjects frequently differ from control subjects. Methods based on the propensity score are increasingly popular. Minimal research has be …
In such analyses, statistical methods are essential to minimize the effect of confounding due to measured covariates, as treated subjects fr …
Propensity score matching for estimating a marginal hazard ratio.
Wang T, Zhao H, Yang S, Tang S, Cui Z, Li L, Faries DE. Wang T, et al. Stat Med. 2024 Jun 30;43(14):2783-2810. doi: 10.1002/sim.10103. Epub 2024 May 5. Stat Med. 2024. PMID: 38705726 Free PMC article.
Propensity score matching is commonly used to draw causal inference from observational survival data. ...We derive the statistical properties of the propensity score matching estimator of the marginal causal hazard ratio based on match …
Propensity score matching is commonly used to draw causal inference from observational survival data. ...We derive the …
59,832 results
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