Selection bias due to conditioning on a collider
- PMID: 37286200
- PMCID: PMC10245143
- DOI: 10.1136/bmj.p1135
Selection bias due to conditioning on a collider
Abstract
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.
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