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Methods/Statistics

August 8 2022

What we think about when we think about fairness

Suzanne Bevan 2022, Annual Meeting Recording Health Disparities, Interference/Spillover Effects, Mediation, Methods/Statistics, Philosophy of Science/Epidemiology, Social

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

Increasing the Impact of Epidemiologic Studies on Policy through Contributions to Expert Committee Assessments

Suzanne Bevan 2022, Annual Meeting Recording Generalizability, Health Services/Policy, Methods/Statistics

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

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

July 5 2022

Machine Learning and Epidemiology

Suzanne Bevan 2022, Annual Meeting Recording Machine Learning, Methods/Statistics

February 17 2022

Investigating Structural Factors to Advance Population Health

Suzanne Bevan SERexperts, Video, Webinar Environment, Health Disparities, Methods/Statistics, Race, Structural

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

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

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