Reproductive

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

April 17 2019

Retirements of Coal and Oil Power Plants in California: Association with Reduced Preterm Birth Among Populations Nearby

Suzanne Bevan SERjournal, SPC Event, Video, Webinar Difference-in-Difference, Early Stage Investigator, Environment, Geospatial, Health Services/Policy, Interaction/Effect Measure Modification, Perinatal, Professional Development, Quasi-Experimental, Reproductive, Teaching

Joan Casey & Dana Goin Link to Article Article referenced during event: “Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research”