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Women’s Health

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

November 18 2020

Cesarean birth and maternal morbidity among Black women and White women after implementation of a blended payment policy

Suzanne Bevan SERjournal Difference-in-Difference, Interaction/Effect Measure Modification, Race, Reproductive, Women's Health

March 27 2020

Epidemiology Counts – Episode Fourteen: “Infertility”

Suzanne Bevan SERpodcast Mental Health, Reproductive, Social, Women's Health

Click Here to View “Infertility”

March 11 2020

Leveraging mobile health applications for epidemiologic research

Suzanne Bevan Society Collaborations, Video, Webinar Big Data, Machine Learning, Perinatal, Reproductive, Survey Sampling, Women's Health

SER-SPER Collaboration Moderator: Sonia Grandi, NIH Panel Presenters: Carlotta Favaro, Jenna Nobles, Nitika Pant Pai, Quynh Pham, Shruthi Mahalingaiah

June 22 2018

Distinguished Service to SER Award Winner

Suzanne Bevan 2018, Annual Meeting Recording, Video Cancer, Cardiovascular, Cohort, Diabetes, Genetics, Neurology, Pharmacoepidemiology, Randomized Controlled Trial, Women's Health

May 29 2018

A Random Shuffle

Suzanne Bevan Methodological Playlists, SERplaylists Cancer, Case-Control, Causal Inference, Confounding, Grants, Methods/Statistics, Misclassification, Molecular, P-Values, Philosophy of Science/Epidemiology, Publishing, Race, Reproductive, Selection Bias, Statistics (e.g. Hypothesis Testing), Survey Sampling, Women's Health 0

Andrew Olshan offers a “random shuffle” of thought-provoking topics in epidemiology. This article features a mix of insights and resources designed to spark discussion and deepen understanding of key concepts in population health research.

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

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

June 24 2016

Invited Plenary Session 3

Suzanne Bevan 2016, Annual Meeting Recording, Video Aging, Cardiovascular, Cohort, Collider Bias, Confounding, Genetics, Gun Violence, Health Disparities, Injury/Violence, Nutrition/Obesity, Pediatric, Perinatal, Race, Women's Health

Introduction, Andrew Olshan Keynote Address and Abraham M. Lilienfeld Award Winner: Michael S. Kramer Keynote Address: J. Nadine Gracia

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