Results 31 to 40 of about 18,931,441 (264)
Social Science Research Network, 2021 I consider the estimation of the average treatment effect (ATE), in a population that can be divided into G groups, and such that one has unbiased and uncorrelated estimators of the conditional average treatment effect (CATE) in each group.
C. de Chaisemartin
semanticscholar +1 more source
Nonparametric tests of conditional treatment effects [PDF]
, 2009 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
core +1 more source
, 2023 Average baseline covariate values, with 95% bootstrap confidence intervals, for three regions of the conditional average treatment effect (CATE).
Michael Baiocchi (838887) +5 more
core +1 more source
Joint sufficient dimension reduction and estimation of conditional and average treatment effects [PDF]
Biometrika, 2017 The estimation of treatment effects based on observational data usually involves multiple confounders, and dimension reduction is often desirable and sometimes inevitable. We first clarify the definition of a central subspace that is relevant for the efficient estimation of average treatment effects.
Huang, Ming-Yueh, Chan, Kwun Chuen Gary
openaire +2 more sources
BMJ Open, 2021 Objective To estimate the equity impacts of the 2007 smoking ban in England, for both smokers and non-smokers.Design Doubly robust regression discontinuity analysis of salivary cotinine levels.
Tim Doran, Matthew Robson, Joseph Lord
doaj +1 more source
Heterogeneity of the effect of the COVID-19 pandemic on the incidence of Metabolic Syndrome onset at a Japanese campus [PDF]
PeerJBackground The coronavirus disease 2019 (COVID-19) outbreak began in China in December 2019, with the World Health Organization declaring a state of emergency in January 2020.
Toshiharu Mitsuhashi
doaj +2 more sources
Scientific Reports, 2023 Risk-based strategies are widely used for decision making in the prophylaxis of postoperative nausea and vomiting (PONV), a major complication of general anesthesia.
Taisuke Mizuguchi, Shigehito Sawamura
doaj +1 more source
Debiased machine learning of conditional average treatment effects and other causal functions [PDF]
The Econometrics Journal, 2020 Summary This paper provides estimation and inference methods for the best linear predictor (approximation) of a structural function, such as conditional average structural and treatment effects, and structural derivatives, based on modern machine learning tools.
Semenova, Vira, Chernozhukov, Victor
openaire +3 more sources
Doubly robust uniform confidence band for the conditional average treatment effect function [PDF]
, 2016 In this paper, we propose a doubly robust method to estimate the heterogeneity of the average treatment effect with respect to observed covariates of interest.
Yoon-Jae Whang, R. Okui, S. Lee
semanticscholar +1 more source
Analyzing Average and Conditional Effects with Multigroup Multilevel Structural EquationModels
Frontiers in Psychology, 2014 Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been therecommended approach for analyzing treatment effects in quasi-experimental multilevel designswith treatment application at the cluster-level.
Axel eMayer +4 more
doaj +1 more source