Results 101 to 110 of about 20,519,205 (284)
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Beyond the average treatment effect
The overall aim of this thesis is to explore the use of baseline risk prediction models as the basis for medical decision making. We study and apply methods for the evaluation of treatment effect heterogeneity in both clinical trial data and observational data. More specifically, we systematically review the existing literature on predictive approaches
openaire +1 more source
A note on the variance of average treatment effects estimators [PDF]
We derive the variance of the Hirano, Imbens and Ridder (Econometrica 66, 315--31, 2003) average treatment effects estimator when the true propensity score is known. This variance is used in the derivation of the variance of a similar two-step estimator,
Gabriel Montes-Rojas
core
Bayesian and frequentist bootstrapped estimates of the average treatment effect.
Bayesian and frequentist bootstrapped estimates of the average treatment effect.
Emma J. McCoy (7387676) +3 more
core +1 more source
The average treatment effect of participating in e-commerce on fruit farmers’ use intensity of OF.
The average treatment effect of participating in e-commerce on fruit farmers’ use intensity of OF.
Abdelrahman Ali (13531354) +3 more
core +1 more source
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments
We derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that ...
Aronow Peter M., Middleton Joel A.
doaj +1 more source
We propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The proposed approach has asymptotic optimality and consistency of weights and estimator. Numerical studies show that our method has good finite-sample performances.
Shi, Pengfei, Zhang, Xinyu, Zhong, Wei
openaire +2 more sources
Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand [PDF]
Estimation of average treatment effects under unconfoundedness or exogenous treatment assignment is often hampered by lack of overlap in the covariate distributions.
Richard K. Crump +3 more
core
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source

