Selection bias due to conditioning on a collider
Miguel A. Hernán, Susana Monge
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.
Topics & Concepts
ColliderObservational studySelection biasDirected acyclic graphSelection (genetic algorithm)Variable (mathematics)Computer scienceOmitted-variable biasEconometricsStatisticsParticle physicsPhysicsMathematicsArtificial intelligenceAlgorithmMathematical analysisAdvanced Causal Inference TechniquesStatistical Methods and InferenceStatistical Methods in Clinical Trials