To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/247933

DC Field	Value
dc.title	To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
dc.contributor.author	Peng Ding
dc.contributor.author	Anqi Zhao
dc.date.accessioned	2024-04-17T02:24:59Z
dc.date.available	2024-04-17T02:24:59Z
dc.date.issued	2022-10-17
dc.identifier.citation	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.
dc.identifier.issn	0162-1459
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/247933
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	STATISTICS AND DATA SCIENCE
dc.description.sourcetitle	Journal of the American Statistical Association
dc.description.volume	119
dc.description.issue	545
dc.description.page	450-460
Appears in Collections:	Staff Publications Elements

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