Results 31 to 40 of about 3,722,033 (368)
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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Recommendations for the use of propensity score methods in multiple sclerosis research
Multiple Sclerosis, 2022 Background: With many disease-modifying therapies currently approved for the management of multiple sclerosis, there is a growing need to evaluate the comparative effectiveness and safety of those therapies from real-world data sources.
Gabrielle Simoneau +10 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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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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
doaj +1 more source
Estimating Marginal Hazard Ratios by Simultaneously Using A Set of Propensity Score Models: A Multiply Robust Approach [PDF]
, 2020 The inverse probability weighted Cox model is frequently used to estimate marginal hazard ratios. Its validity requires a crucial condition that the propensity score model is correctly specified.
Han, Peisong +3 more
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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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