On the bias of adjusting for a non-differentially mismeasured discrete confounder

Biological and epidemiological phenomena are often measured with error or imperfectly captured in data. When the true state of this imperfect measure is a confounder of an outcome exposure relationship of interest, it was previously widely believed that adjustment for the mismeasured observed variab...

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Bibliographic Details
Main Authors: Peña Jose M., Balgi Sourabh, Sjölander Arvid, Gabriel Erin E.
Format: Article
Language:English
Published: De Gruyter 2021-09-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2021-0033