Analyzing Selection Bias for Credible Causal Inference
Published 17 June 2019 Causal modeling and inference rely on strong assumptions, one of which is conditional exchangeability. Uncontrolled confounding is often seen as if it is the most important threat to conditional exchangeability although collider-stratification bias or selection bias can be just as important New publicayion in Epidemiology.Read more here.
https://www.lupop.lu.se/article/analyzing-selection-bias-credible-causal-inference - 2025-05-29