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HIV/STI

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

HIV and STIs: Methodology and Practical Applications

Suzanne Bevan 2022, Annual Meeting Recording Behavior, Causal Inference, Environment, Health Services/Policy, HIV/STI, Location-Allocation Analysis; Latent Class Analysis, Mental Health, Methods/Statistics, Race, Social, Substance Use

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 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 Score

Rhian Daniel, Els Goetghebeur, and Ryan M. Andrews

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 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 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

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

September 27 2017

Applications of Causal Inference Methods in Four Substantive Areas: New methods, what works (and what doesn’t), and future directions

Suzanne Bevan SERtalks, Video, Webinar Causal Inference, Confounding, DAGs, Environment, G-Methods, Health Disparities, Health Services/Policy, HIV/STI, Inverse Probability Weight, Mathematical Modeling, Methods/Statistics, Occupational, Pharmacoepidemiology, Race, Randomized Controlled Trial, Sample Weighting, Science Communication, Selection Bias, Simulation, Social, Survivor Bias, Women's Health

June 23 2017

Epidemiology’s Next 50 Years Through the Lens of the Last 50

Suzanne Bevan 2017, Annual Meeting Recording, Video Big Data, Cancer, Causal Inference, DAGs, G-Methods, Genetics, Gun Violence, Health Disparities, HIV/STI, Infectious Disease, Injury/Violence, Inverse Probability Weight, Machine Learning, Molecular, Nutrition/Obesity, Obesity, Race, Simulation, Social, Surveillance, Synthetic Control, Women's Health

Society for Epidemiologic Research

Contact:

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

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