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Reproductive

July 28 2021

A Brief Foray Into Anti-Racist Public Health Research

Suzanne Bevan SERplaylists Diversity and Inclusion, Health Disparities, Nutrition/Obesity, Perinatal, Philosophy of Science/Epidemiology, Race, Reproductive, Social

Arrianna Marie Planey

April 24 2021

Identifying cardiovascular severe maternal morbidity in epidemiologic studies

Heston Warr Webinar Cardiovascular, Clinical Epidemiology, Perinatal, Reproductive, Student Event, Women's Health

Link to article Isabelle Malhamé

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

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 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

June 19 2019

2019 SER President’s Address – Enrique Schisterman

Suzanne Bevan 2019, Annual Meeting Recording, Video Diversity and Inclusion, Reproductive

Enrique Schisterman

April 24 2019

Machine Learning and Causality: Considerations for Prediction and Effect Estimation

Suzanne Bevan SERtalks, Video, Webinar Causal Inference, Doubly Robust Estimators/TMLE, G-Methods, Inverse Probability Weight, Machine Learning, Methods/Statistics, Reproductive, Validation Studies

Society for Epidemiologic Research

Contact:

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

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