Data Science, Statistics, Analytics, Experiment, Causality.
causes are at play. When we condition on a collider, two independent events become correlated (“collider bias”). We often condition on a collider not by choice but because of missing data, i.e. censoring or selection bias. Now that we understand how information flows through a DAG, we can use it to