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Nonparametric estimation of ATE and QTE: an application of Fractile Graphical Analysis [PDF]
, 2010 Nonparametric estimators for average and quantile treatment effects are constructed using Fractile Graphical Analysis, under the identifying assumption that selection to treatment is based on observable characteristics. The proposed method has two-steps:
Montes-Rojas, G.
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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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The impact of preoperative dexamethasone on the magnitude of the postoperative systemic inflammatory response and complications following surgery for colorectal cancer [PDF]
, 2017 Background: The magnitude of the postoperative systemic inflammatory response (SIR), as evidenced by C-reactive protein (CRP), is associated with both short- and long-term outcomes following surgery for colorectal cancer.
Horgan, Paul G. +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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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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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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Subgroup balancing propensity score [PDF]
Statistical Methods in Medical Research, 2019 This paper concerns estimation of subgroup treatment effects with observational data. Existing propensity score methods are mostly developed for estimating overall treatment effect. Although the true propensity scores balance covariates in any subpopulations, the estimated propensity scores may result in severe imbalance in subgroup samples.
Jing Dong +3 more
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Jambura Journal of MathematicsResearch on complications of Diabetes Mellitus (DM) is multifactorial, where the risk factors causing DM complications are interrelated, leading to confounding bias, which results in inaccurate research findings. Confounding bias can be reduced using the
Ingka Rizkyani Akolo +2 more
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BMC Public Health, 2019 Background Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the
Wei Xian +6 more
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Estimating the Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization Rates [PDF]
Epidemiology and Health System JournalBackground and aims: COVID-19 remains a global health challenge, with vaccination crucial for reducing severe cases. This study evaluated a two-dose COVID-19 vaccine’s effectiveness in lowering hospitalization rates using advanced statistical techniques.
Mahboobeh Taherizadeh +3 more
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