Results 31 to 40 of about 2,078,941 (236)
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument.
de Luna Xavier, Johansson Per
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Optimal weighting for estimating generalized average treatment effects
In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
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Nonparametric tests of conditional treatment effects [PDF]
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Whang, Yoon-Jae +5 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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Treatment compliance and effectiveness of a cognitive behavioural intervention for low back pain : a complier average causal effect approach to the BeST data set [PDF]
Background: Group cognitive behavioural intervention (CBI) is effective in reducing low-back pain and disability in comparison to advice in primary care.
Hansen, Zara +10 more
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Background There is mixed evidence about the impact of long‐term management with hypnotic medications on blood pressure (BP). Aim To estimate the effect of short‐ and long‐term management with benzodiazepine and z‐drugs (BZD) on BP.
Mumtaz Begum +3 more
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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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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
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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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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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