July 5 2022 The New Epidemiology of Fusion Designs Suzanne Bevan 2022, Annual Meeting Recording Confounding, External Validity, Genomic Methods, Inverse Probability Weight, Methods/Statistics, Misclassification, Missing Data, Selection Bias, Study Design, Transportability
November 12 2020 Surviving or collapsing with causal inference Suzanne Bevan SERtalks Clinical Epidemiology, Competing Risks, HIV/STI, Immortal Time Bias, Inverse Probability Weight, Methods/Statistics, Pharmacoepidemiology, Propensity ScoreRhian Daniel, Els Goetghebeur, and Ryan M. Andrews
June 21 2019 Brian MacMahon Early Career Award Winner Suzanne Bevan 2019, Annual Meeting Recording, Video Cancer, Causal Inference, Clinical Epidemiology, Cohort, Collider Bias, Confounding, DAGs, Diabetes, Early Stage Investigator, External Validity, G-Methods, Health Disparities, Health Services/Policy, Instrumental Variable, Inverse Probability Weight, Mendelian Randomization, Mentoring, Molecular, Nutrition/Obesity, Physical Activity/Sports Medicine, Quasi-Experimental, Race, Randomized Controlled Trial, Screening, Selection Bias, Social, Survey Sampling
June 20 2019 Triangulation of Casual Effect Estimates Suzanne Bevan 2019, Annual Meeting Recording, Video Aging, Causal Inference, Confounding, DAGs, External Validity, Generalizability/External Validity/Transportability, HIV/STI, Inverse Probability Weight, Mendelian Randomization, Methods/Statistics, Perinatal, Randomized Controlled Trial, Regression Discontinuity, Transportability
June 20 2019 Theory and Practice Suzanne Bevan 2019, Annual Meeting Recording, Video Causal Inference, Collider Bias, Confounding, DAGs, G-Methods, Generalizability/External Validity/Transportability, Interaction/Effect Measure Modification, Inverse Probability Weight, Quantitative Bias Analysis, Reproductive, Selection Bias
June 19 2019 Methods That Acknowledge, Address, and Even Embrace Data Complexity Suzanne Bevan 2019, Annual Meeting Recording, Video Causal Inference, Competing Risks, Confounding, G-Methods, HIV/STI, Instrumental Variable, Inverse Probability Weight, Machine Learning, Methods/Statistics, Pharmacoepidemiology, Randomized Controlled Trial, Simulation, Social
April 24 2019 Machine Learning and Causality: Considerations for Prediction and Effect Estimation Suzanne Bevan SERtalks, Video, Webinar Causal Inference, Doubly Robust Estimators/TMLE, G-Methods, Inverse Probability Weight, Machine Learning, Methods/Statistics, Reproductive, Validation Studies
March 13 2019 Application of propensity scores and inverse probability weighting for estimating policy-relevant effects in epidemiology Suzanne Bevan SERdigital, Video, Webinar Causal Inference, Cohort, Confounding, External Validity, HIV/STI, Inverse Probability Weight, Mental Health, Methods/Statistics, Missing Data, P-Values, Propensity Score, Randomized Controlled Trial, Selection Bias, Statistics (e.g. Hypothesis Testing), Transportability
June 22 2018 Brian MacMahon Early Career Award Winner Suzanne Bevan 2018, Annual Meeting Recording, Video Causal Inference, Collider Bias, Confounding, DAGs, Early Stage Investigator, External Validity, G-Methods, Instrumental Variable, Inverse Probability Weight, Mendelian Randomization, Quasi-Experimental, Randomized Controlled Trial, Science Communication, Survey Sampling, Teaching
June 21 2018 Instrumental Variables and Mendelian Randomization: A Simple Idea that Became Complicated Suzanne Bevan 2018, Annual Meeting Recording, Video Cardiovascular, Causal Inference, Confounding, DAGs, Doubly Robust Estimators/TMLE, External Validity, Genetics, Instrumental Variable, Interaction/Effect Measure Modification, Inverse Probability Weight, Mediation, Mental Health, Methods/Statistics, Nutrition/Obesity, P-Values, Quasi-Experimental, Selection Bias, Simulation, Statistics (e.g. Hypothesis Testing), Substance Use
