Results 11 to 20 of about 1,861,153 (306)
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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Contrast-specific propensity scores [PDF]
Biostatistics & Epidemiology, 2021 Basic propensity score methodology is designed to balance the distributions of multivariate pre-treatment covariates when comparing one active treatment with one control treatment. However, practical settings often involve comparing more than two treatments, where more complicated contrasts than the basic treatment-control one, (1,−1), are relevant ...
Shasha Han, Donald. B. Rubin
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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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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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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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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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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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Association between cognitive function and dusty weather: a propensity score matching study
BMC Geriatrics, 2023 Background With a rapidly aging global population, the health of older adults is a national priority for countries across the world. Dusty weather has been demonstrated to be a potential risk factor of cognitive function among the elderly population ...
Honghui Yao, Zixuan Peng, Xinping Sha
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