Key points are not available for this paper at this time.
Effect estimates may be biased when the study design or the data analysis is conditional on a collider—a variable that is caused by two other variables. Causal directed acyclic graphs are a helpful tool to identify colliders that may introduce selection bias in observational research.
Hernán et al. (Wed,) studied this question.
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