Limits for the Magnitude of M-bias and Certain Other Types of Structural Selection Bias
Abstract
Structural selection bias and confounding are key threats to validity of causal effect estimation. Here, we consider M-bias, a type of selection bias, described by Hernán et al as a situation wherein bias is caused by selecting on a variable that is caused by two other variables, one a cause of the exposure, the other a cause of the outcome. Our goals are to derive a bound for (the maximum) M-bias, explore through examples the magnitude of...
Paper Details
Title
Limits for the Magnitude of M-bias and Certain Other Types of Structural Selection Bias
Published Date
Jul 1, 2019
Journal
Volume
30
Issue
4
Pages
501 - 508
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