To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
Journal of the American Statistical Association
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2024
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sg-nus-scholar.10635-2479332024-11-10T06:24:18Z To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates Peng Ding Anqi Zhao STATISTICS AND DATA SCIENCE Journal of the American Statistical Association 119 545 450-460 2024-04-17T02:24:59Z 2024-04-17T02:24:59Z 2022-10-17 Article Peng Ding, Anqi Zhao (2022-10-17). To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates. Journal of the American Statistical Association 119 (545) : 450-460. ScholarBank@NUS Repository. 0162-1459 https://scholarbank.nus.edu.sg/handle/10635/247933 Taylor & Francis Taylor & Francis |
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Journal of the American Statistical Association |
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STATISTICS AND DATA SCIENCE |
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STATISTICS AND DATA SCIENCE Peng Ding Anqi Zhao |
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Peng Ding Anqi Zhao |
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Peng Ding Anqi Zhao To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
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Peng Ding |
title |
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
title_short |
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
title_full |
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
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To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
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To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates |
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to adjust or not to adjust? estimating the average treatment effect in randomized experiments with missing covariates |
publisher |
Taylor & Francis |
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2024 |
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https://scholarbank.nus.edu.sg/handle/10635/247933 |
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1821192434309136384 |