Results 11 to 20 of about 194,588 (164)
International Journal of Turkish Education Sciences, 2023 In 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 ...
Sungur Gürel, Walter Lana Leite
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BMC Medical Research Methodology, 2016 Background Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear.
Jason R. Guertin +3 more
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Weight trimming and propensity score weighting.
PLoS ONE, 2011 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 ...
Brian K Lee +2 more
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Stats, 2021 Without randomization of treatments, valid inference of treatment effects from observational studies requires controlling for all confounders because the treated subjects generally differ systematically from the control subjects.
Tingting Zhou +2 more
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Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric
Econometrics, 2019 It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known.
Kyoo il Kim
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Optimal caliper width for propensity score matching of three treatment groups: a Monte Carlo study. [PDF]
PLoS ONE, 2013 Propensity score matching is a method to reduce bias in non-randomized and observational studies. Propensity score matching is mainly applied to two treatment groups rather than multiple treatment groups, because some key issues affecting its application
Yongji Wang +6 more
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Propensity scores and the surgeon
British Journal of Surgery, 2006 AbstractBackgroundEvidence-based surgery has been established as a cornerstone of good clinical practice, promising to improve the treatment of patients and the quality of surgical education. However, evidence-based surgery requires dedicated clinicians trained to perform methodologically sound clinical investigations.
Adamina M, Guller U, Weber WP, Oertli D
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BMC Endocrine Disorders, 2021 Background Reliable quantification of the relationship between hypertension and diabetes risk is limited, especially among Chinese people. We aimed to investigate the association between hypertension and the risk of diabetes in a large cohort of the ...
Yang Wu +6 more
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A brief introduction to propensity score for anesthesiologists [PDF]
Korean Journal of Anesthesiology, 2020 Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared.
Alessandro De Cassai +4 more
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