Results 1 to 10 of about 155,620 (242)
Normalized Augmented Inverse Probability Weighting with Neural Network Predictions [PDF]
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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Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random
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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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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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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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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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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Introduction: Missing values are frequently seen in data sets of research studiesespecially in medical studies.Therefore, it is essential that the data, especially in medical research should evaluate in terms of the structure of missingness.This study ...
Freshteh Osmani, Ebrahim Hajizadeh
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Understanding Marginal Structural Models for Time-Varying Exposures: Pitfalls and Tips
Epidemiologists are increasingly encountering complex longitudinal data, in which exposures and their confounders vary during follow-up. When a prior exposure affects the confounders of the subsequent exposures, estimating the effects of the time-varying
Tomohiro Shinozaki, Etsuji Suzuki
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Differences in Abdominal Body Composition According to Glycemic Status: An Inverse Probability Treatment Weighting Analysis [PDF]
Background Several studies have reported that abdominal fat and muscle changes occur in diabetic patients. However, there are few studies about such changes among prediabetic patients.
Seungbong Han +6 more
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Background and objectives Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity.
Carmen Sayon-Orea +9 more
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