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Generalizability

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

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

October 16 2019

Assessment of recording bias in pregnancy studies using health care databases: An application to neurologic conditions.

Suzanne Bevan SERjournal, SPC Event, Video, Webinar Big Data, Confounding, Generalizability, Misclassification, Missing Data, Neurology, Perinatal, Reproductive

Sarah McDonald, IQVIA LINK TO ARTICLE

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

January 10 2019

Epidemiology Counts – Episode One: “Why Should I Trust that New Health Study?”

Suzanne Bevan SERpodcast Case-Control, Causal Inference, Cohort, Confounding, Ethics, External Validity, Generalizability, Interaction/Effect Measure Modification, Philosophy of Science/Epidemiology, Reproducibility/Transparency, Science Communication

Click HERE to view “Why Should I Trust the New Health Study?”

October 10 2018

Causal thinking in pharmacoepidemiology: an introduction

Suzanne Bevan Society Collaborations, Video, Webinar Causal Inference, Confounding, DAGs, Generalizability, Interaction/Effect Measure Modification, Methods/Statistics, Pharmacoepidemiology, Propensity Score, Randomized Controlled Trial, Science Communication, Selection Bias

March 9 2018

Race and Mortality in America

Suzanne Bevan SERtalks, Video, Webinar Cancer, Cardiovascular, Causal Inference, Confounding, External Validity, Generalizability, Gun Violence, Health Disparities, Interaction/Effect Measure Modification, Men's Health, Molecular, Quasi-Experimental, Race, Respiratory, Social, Surveillance, Survey Sampling, Women's Health

November 10 2017

Representative sampling is overrated. AGREE OR DISAGREE?

Suzanne Bevan SERdigital, Video, Webinar Cancer, Generalizability, Genetics, Methods/Statistics, Missing Data, Natural Disasters, Representativeness, Validation Studies

Society for Epidemiologic Research

Contact:

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

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