Results 51 to 60 of about 33,194 (158)
Generating inverse probability weights for both binary and continuous treatments
My program evaluation class is basically a fun wrapper around topics in causal inference and econometrics. I'm a big fan of Judea Pearl-style "causal revolution" causal graphs (or DAGs), and they've made it easier for both me and my students to understand econometric approaches like diff-in-diff, regression discontinuity, and instrumental variables.
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Augmented inverse probability weighted estimation for conditional treatment effect
The Augmented Inverse Probability Weighted (AIPW) estimation has been extensively studied in various scenarios across diverse research areas. This investigation explores the asymptotic properties of the AIPW estimator for the conditional average treatment effect.
Ye, Chuyun, Guo, Keli, Zhu, Lixing
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Background The hazard ratio of the Cox proportional hazards model is widely used in randomized controlled trials to assess treatment effects. However, two properties of the hazard ratio including the non-collapsibility and built-in selection bias need to
Helen Bian +3 more
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Objectives: Left subclavian artery stenosis in patients requiring hemodialysis can cause coronary steal syndrome via the left internal thoracic artery (LITA) graft to the left anterior descending artery (LAD), potentially leading to graft failure.
Ryoma Oda, MD, PhD +6 more
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Background Randomized control trials of statins have not demonstrated significant benefits in outcomes of heart failure ( HF ). However, randomized control trials may not always be generalizable. The aim was to determine whether statin and statin type–lipophilic or –hydrophilic improve
Bonsu, Kwadwo Osei +4 more
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Propensity score methods, such as inverse probability‐of‐treatment weighting (IPTW), have been increasingly used for covariate balancing in both observational studies and randomized trials, allowing the control of both systematic and chance imbalances. Approaches using IPTW are based on two steps: (i) estimation of the individual propensity scores (PS),
Andriana Kostouraki +6 more
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Background Both diabetes and low magnesium‐containing food intake may increase the risk of heart failure (HF). However, the effect of nonprescription magnesium supplements on the risk of HF or major adverse cardiac events in patients with diabetes is ...
Yan Cheng +6 more
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Objective To compare the survival outcomes of local ablation (LA) and partial nephrectomy (PN) for T1N0M0 renal cell carcinoma (RCC). Method We identified 38,155 T1N0M0 RCC patients treated with PN or LA in 2004‐2016 from the retrospective Surveillance ...
Lei Shi +4 more
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Causal inference methods for observational data represent an alternative to randomised controlled trials when they are not feasible or when real-world evidence is sought. Inverse-probability-of-treatment weighting (IPTW) is one of the most popular approaches to account for confounding in observational studies.
Bettega, François +3 more
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ObjectiveTo investigate the associations of the energy-adjusted dietary inflammatory index (E-DII) with hyperglycemia risk and fasting plasma glucose (FPG) level among adults in China. MethodsA total of 9 363 adults aged ≥ 18 years who participated in at
Shaoying CUI +9 more
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