Results 31 to 40 of about 4,704,446 (291)
Acute myeloid leukemia (AML) is a type of blood cancer that affects both adults and children. Benzene exposure has been reported to increase the risk of developing AML in children.
Daniela Galatro +7 more
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Failure (or success) in finding a statistically significant effect of a large-scale intervention may be due to choices made in the evaluation. To highlight the potential limitations and pitfalls of some common identification strategies used for ...
Weber Ann M. +2 more
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The purpose of the paper was to introduce how to reasonably carry out multiple Logistic regression analysis combined with the average treatment effect analysis.
Hu Chunyan, Hu Liangping
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Estimation of Average Treatment Effects with Misclassification [PDF]
This paper considers identification and estimation of the effect of a mismeasured binary regressor in a nonparametric or semiparametric regression, or the conditional average effect of a binary treatment or policy on some outcome where treatment may be misclassified.
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Testing Local Average Treatment Effect Assumptions [PDF]
In this paper, we propose an easy-to-implement procedure to test the key conditions for the identification and estimation of the local average treatment effect (LATE; Imbens & Angrist, 1994). We reformulate the testable implications of LATE assumptions as two conditional inequalities, which can be tested in the intersection bounds framework of ...
Ismael Mourifie, Yuanyuan Wan
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Semiparametric Single-Index Estimation for Average Treatment Effects
We propose a semiparametric method to estimate the average treatment effect under the assumption of unconfoundedness given observational data. Our estimation method alleviates misspecification issues of the propensity score function by estimating the single-index link function involved through Hermite polynomials.
Difang Huang, Jiti Gao, Tatsushi Oka
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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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Inference on Local Average Treatment Effects for Misclassified Treatment [PDF]
43 pages, 1 figure, 7 tables, 1 ...
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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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Bounding average treatment effects: A linear programming approach [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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