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Selection Bias

July 5 2022

Timeless person-time problems

Suzanne Bevan 2022, Annual Meeting Recording Competing Risks, Health Disparities, HIV/STI, Immortal Time Bias, Injury/Violence, Methods/Statistics, Pharmacoepidemiology, Selection Bias

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

January 13 2022

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

Suzanne Bevan SERjournal, Student, Webinar Causal Inference, Confounding, DAGs, Methods/Statistics, Selection Bias

December 17 2020

Likely biased but possibly useful: the implications of conditioning on future events for interpretation of effects in perinatal epidemiology

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

December 17 2020

Epidemiologic methods for applied research: Answering important public health questions that are not causal

Suzanne Bevan 2020 - Virtual Conference Causal Inference, Drug Overdose, Generalizability, Global Health, HIV/STI, Infectious Disease, Methods/Statistics, Misclassification, Non-Standard Sampling Methods, Selection Bias, Surveillance, Survey Sampling

Session Chairs: Cathering Lesko, Matthew Fox

November 1 2019

An Introduction to Quantitative Bias Analysis

Suzanne Bevan SERtalks, Video, Webinar Confounding, Missing Data, Quantitative Bias Analysis, Selection Bias, Simulation

Richard MacLehose, University of Minnesota

June 21 2019

The Baddest of the Bad: Ranking the Most Pernicious Biases Facing Observational Studies

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

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

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

April 29 2019

Why Causation Matters: Stanford’s Second Colloquium on Machine Learning and Causal Inference

Suzanne Bevan SERtalks, Video, Webinar Causal Inference, Confounding, Doubly Robust Estimators/TMLE, Dynamic Treatment Regimes, Flexible Modeling, Health Disparities, HIV/STI, Instrumental Variable, Interaction/Effect Measure Modification, Machine Learning, Mental Health, Misclassification, P-Values, Propensity Score, Quasi-Experimental, Race, Randomized Controlled Trial, Selection Bias, Social, Statistics (e.g. Hypothesis Testing), Synthetic Control

Jennifer Hill, Susan Athey, Maria Glymour, Jennifer Ahern, Daniel Ho, Guido Imbens, Kristian Lum, Nigam Shah, Maya Petersen Why Causation Matters – Welcome Why Causation Matters – Jennifer Hill Why Causation Matters – Heterogeneity-Estimation Why Causation Matters – Prediction-Fairness Why Causation Matters – Design

Society for Epidemiologic Research

Contact:

Suzanne Bevan
Executive Director
PO Box 1831
Eagle, Idaho 83616
sbevan@epiresearch.org

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