Results 21 to 30 of about 98,771 (295)
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
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Generalization bounds and algorithms for estimating conditional average treatment effect of dosage
CoRR, 2022 We investigate the task of estimating the conditional average causal effect of treatment-dosage pairs from a combination of observational data and assumptions on the causal relationships in the underlying system. This has been a longstanding challenge for fields of study such as epidemiology or economics that require a treatment-dosage pair to make ...
Alexis Bellot, Anish Dhir, Giulia Prando
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Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
CoRR, 2022 We study the benign overfitting theory in the prediction of the conditional average treatment effect (CATE), with linear regression models. As the development of machine learning for causal inference, a wide range of large-scale models for causality are gaining attention.
Masahiro Kato, Masaaki Imaizumi
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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
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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
Labor Supply and Conditional Cash Transfer: Evidences from Tekoporã Program.
Población y Desarrollo, 2020 This article searches understand the effects caused by the Conditional Cash Transfer Program Tekoporã of Paraguay in labor supply of participants. To achieve this purpose, a group of program participants was identified and, using the Propensity Score ...
Juan Carlos Núñez Guerrero
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Journal of Open Innovation: Technology, Market and Complexity, 2023 Do outside funds and increased access to capital have an effect on the market valuation of technology startup firms? Should entrepreneurs prioritize outside funding to increase the values of their firms?
Amril Nazir, Dina Tbaishat
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, 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
BMJ Global Health, 2019 Background Evidence suggests that social protection policies such as Brazil’s Bolsa Família Programme (BFP), a governmental conditional cash transfer, may play a role in tuberculosis (TB) elimination. However, study limitations hamper conclusions.
Daniel J Carter +10 more
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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
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