Results 51 to 60 of about 4,735,813 (292)
A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity
MathematicsEstimating heterogeneous treatment effects plays a vital role in many statistical applications, such as precision medicine and precision marketing. In this paper, we propose a novel meta-learner, termed RXlearner for estimating the conditional average ...
Zhihao Zhao, Congyang Zhou
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Semiparametrically efficient estimation of the average linear regression function
, 2018 Let Y be an outcome of interest, X a vector of treatment measures, and W a vector of pre-treatment control variables. Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive "treatments". Consider the linear regression of
Graham, Bryan S. +1 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa +3 more
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Nonparametric Tests for Treatment Effect Heterogeneity [PDF]
A large part of the recent literature on program evaluation has focused on estimation of the average effect of the treatment under assumptions of unconfoundedness or ignorability following the seminal work by Rubin (1974) and Rosenbaum and Rubin (1983 ...
Guido W. Imbens +3 more
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Clinical Epidemiology, 2023 Byeong Yeob Choi,1 M Alan Brookhart2 1Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA; 2Department of Population Health Sciences, Duke University, Durham, NC, USACorrespondence: Byeong Yeob Choi, UT Health San ...
Choi BY, Brookhart MA
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Information Theoretic Causal Effect Quantification
Entropy, 2019 Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework.
Aleksander Wieczorek, Volker Roth
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Heliyon, 2022 This study investigated the impact of soil and water conservation practices on crop income in the Tembaro district, Kembata Tembaro zone, Southern Ethiopia. We selected 236 households using stratified sampling.
Seyfu Tesfayohannes +2 more
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Average treatment effects on binary outcomes with stochastic covariates
British Journal of Mathematical and Statistical Psychology, 2023 Abstract When evaluating the effect of psychological treatments on a dichotomous outcome variable in a randomized controlled trial (RCT), covariate adjustment using logistic regression models is often applied. In the presence of covariates, average marginal effects (AMEs) are often preferred over odds ratios, as AMEs yield a clearer ...
Christoph Kiefer +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
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Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
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