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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Main Authors: Peng Ding, Anqi Zhao
Other Authors: STATISTICS AND DATA SCIENCE
Format: Article
Published: Taylor & Francis 2024
Online Access:https://scholarbank.nus.edu.sg/handle/10635/247933
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Institution: National University of Singapore
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spelling 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
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Journal of the American Statistical Association
author2 STATISTICS AND DATA SCIENCE
author_facet STATISTICS AND DATA SCIENCE
Peng Ding
Anqi Zhao
format Article
author Peng Ding
Anqi Zhao
spellingShingle Peng Ding
Anqi Zhao
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
author_sort 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
title_fullStr To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
title_full_unstemmed To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
title_sort to adjust or not to adjust? estimating the average treatment effect in randomized experiments with missing covariates
publisher Taylor & Francis
publishDate 2024
url https://scholarbank.nus.edu.sg/handle/10635/247933
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