Results 41 to 50 of about 19,276,699 (283)
Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric
It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known.
Kyoo il Kim
doaj +1 more source
Debiased Bayesian inference for average treatment effects
NeurIPS ...
Ray, Kolyan, Szabo, Botond
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Conditional average treatment effect and machine learning [PDF]
For treatment effects—one of the core issues in modern econometric analysis—prediction and estimation are two sides of the same coin. As it turns out, machine learning methods are the tool for generalized prediction models.
Jacob, Daniel
core +1 more source
Propensity Score Matching: should we use it in designing observational studies?
Background Propensity Score Matching (PSM) stands as a widely embraced method in comparative effectiveness research. PSM crafts matched datasets, mimicking some attributes of randomized designs, from observational data.
Fei Wan
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Introduction: Appropriate complementary foods have been found to provide infants and young children with nutritional needs for their growth and development.
Halima S. Twabi +3 more
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Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Sensitivity analysis for average treatment effects [PDF]
Based on the conditional independence or unconfoundedness assumption, matching has become a popular approach to estimate average treatment effects. Checking the sensitivity of the estimated results with respect to deviations from this identifying assumption has become an increasingly important topic in the applied evaluation literature.
Becker, Sascha O. +3 more
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Doubly-robust functional average treatment effect estimation
Understanding causal relationships in the presence of complex, structured data remains a central challenge in modern statistics and science in general.
Testa Lorenzo +4 more
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Estimation of Average Treatment Effects Based on Propensity Scores [PDF]
In this paper, we give a short overview of some propensity score matching estimators suggested in the evaluation literature, and we provide a set of Stata programs, which we illustrate using the National Supported Work (NSW) demonstration widely known in labor economics.
Sascha O. Becker, Andrea Ichino
openaire +3 more sources

