Quantile treatment effects and bootstrap inference under covariate-adaptive randomization

This paper studies the estimation and inference of the quantile treatment effect under covariate-adaptive randomization. We propose three estimation methods: (1) the simple quantile regression (QR), (2) the QR with strata fixed effects, and (3) the inverse propensity score weighted QR. For the three...

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Bibliographic Details
Main Authors: ZHENG, Xin, ZHANG, Yichong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/2276
https://ink.library.smu.edu.sg/context/soe_research/article/3276/viewcontent/Quantile_treatment_effects_and_bootstrap_inference_under_covariate_adaptive_randomization_wp_2018.pdf
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Institution: Singapore Management University
Language: English