Quantile treatment effects and bootstrap inference under covariate-adaptive randomization

In this paper, we study the estimation and inference of the quantile treatment effect under covariate‐adaptive randomization. We propose two estimation methods: (1) the simple quantile regression and (2) the inverse propensity score weighted quantile regression. For the two estimators, we derive the...

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Bibliographic Details
Main Authors: ZHANG, Yichong, ZHENG, Xin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/soe_research/2453
https://ink.library.smu.edu.sg/context/soe_research/article/3452/viewcontent/1370_6907_1_PB.pdf
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Institution: Singapore Management University
Language: English