Immortal Time Bias
Likely biased but possibly useful: the implications of conditioning on future events for interpretation of effects in perinatal epidemiology
Session Chairs: Mollie Wood, Dominique Heinke
SER
Suzanne Bevan 2020 - Virtual Conference Causal Inference, Competing Risks, Confounding, DAGs, Generalizability, Immortal Time Bias, Misclassification, Missing Data, Pediatric, Perinatal, Reproductive, Selection Bias, Women's Health
Session Chairs: Mollie Wood, Dominique Heinke
Suzanne Bevan SERtalks Clinical Epidemiology, Competing Risks, HIV/STI, Immortal Time Bias, Inverse Probability Weight, Methods/Statistics, Pharmacoepidemiology, Propensity Score
Rhian Daniel, Els Goetghebeur, and Ryan M. Andrews
Suzanne Bevan 2019, Annual Meeting Recording, Video Causal Inference, Collider Bias, Confounding, DAGs, External Validity, Generalizability, Immortal Time Bias, Information bias, Mathematical Modeling, Misclassification, Missing Data, Selection Bias, Survivor Bias