Results 31 to 40 of about 3,851,696 (287)
Pharmaceutical statistics, 2010 In a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates.
Peter C Austin
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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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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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Balance diagnostics after propensity score matching.
Annals of Translational Medicine, 2019 Propensity score matching (PSM) is a popular method in clinical researches to create a balanced covariate distribution between treated and untreated groups.
Wentao Bao +3 more
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Introduction to propensity scores [PDF]
Respirology, 2014 AbstractAlthough randomization provides a gold‐standard method of assessing causal relationships, it is not always possible to randomly allocate exposures. Where exposures are not randomized, estimating exposure effects is complicated by confounding. The traditional approach to dealing with confounding is to adjust for measured confounding variables ...
Elizabeth J, Williamson, Andrew, Forbes
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Covariate Balancing Propensity Score [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryThe propensity score plays a central role in a variety of causal inference settings. In particular, matching and weighting methods based on the estimated propensity score have become increasingly common in the analysis of observational data. Despite their popularity and theoretical appeal, the main practical difficulty of these methods is that ...
Imai, Kosuke, Ratkovic, Marc
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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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Propensity score analysis methods with balancing constraints: A Monte Carlo study
Statistical Methods in Medical Research, 2021 The inverse probability weighting is an important propensity score weighting method to estimate the average treatment effect. Recent literature shows that it can be easily combined with covariate balancing constraints to reduce the detrimental effects of
Yan Li, Liang Li
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