Results 1 to 10 of about 194,483 (282)
Normalized Augmented Inverse Probability Weighting with Neural Network Predictions [PDF]
Entropy, 2022 The estimation of average treatment effect (ATE) as a causal parameter is carried out in two steps, where in the first step, the treatment and outcome are modeled to incorporate the potential confounders, and in the second step, the predictions are ...
Mehdi Rostami, Olli Saarela
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Inverse probability weighting for causal inference in hierarchical data [PDF]
BMC Medical Research MethodologyObjective The aim of this study was to explore the impact of model misspecification, balance, and extreme weights on average treatment effect (ATE) estimation in hierarchical data with unmeasured cluster-level confounders using the multilevel propensity ...
Lin Hu +10 more
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Inverse Probability Weighting Enhances Absolute Risk Estimation in Three Common Study Designs of Nosocomial Infections [PDF]
Clinical Epidemiology, 2022 Paulina Staus,1 Maja von Cube,1,* Derek Hazard,1,* Sam Doerken,1 Ksenia Ershova,2 James Balmford1 ,† Martin Wolkewitz1 1Institute of Medical Biometry and Statistics, Division Methods in Clinical Epidemiology, Faculty of Medicine and Medical ...
Staus P +6 more
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Correlation between metabolic unhealth and prostate cancer -an inverse probability weighting study [PDF]
BMC UrologyBackground Current research indicates that prostate cancer (PCa) is one of the most common cancers in men, and its occurrence may be linked to metabolic unhealth.
Mingyue Chen +5 more
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Deep sedation for nasal septal surgery: an observational retrospective study with an inverse probability weighting model [PDF]
Journal of Anesthesia, Analgesia and Critical Care, 2023 Background Septoplasty, a common surgical procedure to correct a deviated septum, can be performed under either general anesthesia or deep sedation anesthesia.
Laura Campiglia +5 more
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Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random
Mathematics, 2023 The augmented inverse probability weighting is well known for its double robustness in missing data and causal inference. If either the propensity score model or the outcome regression model is correctly specified, the estimator is guaranteed to be ...
Fei Wang, Yuhao Deng
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International Journal of Turkish Education Sciences, 2023 In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
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PLoS ONE, 2022 Objectives While corticosteroids have been hypothesized to exert protective benefits in patients infected with SARS-CoV-2, data remain mixed. This study sought to investigate the outcomes of methylprednisone administration in an Italian cohort of ...
Lorenzo Porta +6 more
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International Journal of Infectious Diseases, 2022 Objectives: To evaluate the effectiveness of remdesivir in the early stage of nonsevere COVID-19. Although several randomized controlled trials have compared the effectiveness of remdesivir with that of a placebo, there is limited evidence regarding its ...
Shinya Tsuzuki +20 more
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Frontiers in Education, 2022 Workplace discrimination continues to at least be perceived as a problem by faculty and staff in higher education. The current study extends the academic literature in this area by exploring the possibility of gender discrimination in the wages of ...
Steven B. Caudill +3 more
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