Causal effect estimation with censored outcome and covariate selection-Reference-Cited by-同舟云学术

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Causal effect estimation with censored outcome and covariate selection

Published:2024-01 Issue: Volume:204 Page:109933
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Li Li,Shi Pengfei,Fan Qingliang,Zhong Wei

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Chinese University of Hong Kong

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: a comparative study;Abdia;Biom. J.,2017

2. Program evaluation and causal inference with high-dimensional data;Belloni;Econometrica,2017

3. Regularized estimation for the accelerated failure time model;Cai;Biometrics,2009

4. Estimating average treatment effects with a double-index propensity score;Cheng;Biometrics,2020

5. Covariate selection for the nonparametric estimation of an average treatment effect;De Luna;Biometrika,2011

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