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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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2020
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在線閱讀: | 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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機構: | Singapore Management University |
語言: | English |