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Misclassification

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

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

June 20 2019

Environmental Health: Measurement and Outcomes

Suzanne Bevan 2019, Annual Meeting Recording, Video Cancer, Cardiovascular, Climate Change, Environment, Geospatial, Health Services/Policy, Infectious Disease, Mental Health, Misclassification, Perinatal, Social

June 20 2019

Tyroler Student Prize Paper Award Winner

Suzanne Bevan 2019, Annual Meeting Recording, Video Bayes, Early Stage Investigator, Infectious Disease, Mediation, Methods/Statistics, Misclassification, Nutrition/Obesity, Pediatric

Brittany Blouin “Using Bayesian methods to adjust for exposure misclassification in a mediation analysis with multiple mediators: The role of hemoglobin levels and malnutrition in the association between Ascaris infection and IQ scores”

April 29 2019

Why Causation Matters: Stanford’s Second Colloquium on Machine Learning and Causal Inference

Suzanne Bevan SERtalks, Video, Webinar Causal Inference, Confounding, Doubly Robust Estimators/TMLE, Dynamic Treatment Regimes, Flexible Modeling, Health Disparities, HIV/STI, Instrumental Variable, Interaction/Effect Measure Modification, Machine Learning, Mental Health, Misclassification, P-Values, Propensity Score, Quasi-Experimental, Race, Randomized Controlled Trial, Selection Bias, Social, Statistics (e.g. Hypothesis Testing), Synthetic Control

Jennifer Hill, Susan Athey, Maria Glymour, Jennifer Ahern, Daniel Ho, Guido Imbens, Kristian Lum, Nigam Shah, Maya Petersen Why Causation Matters – Welcome Why Causation Matters – Jennifer Hill Why Causation Matters – Heterogeneity-Estimation Why Causation Matters – Prediction-Fairness Why Causation Matters – Design

April 17 2019

Remove the hesitation from your validation

Suzanne Bevan Methodological Playlists, SERplaylists Causal Inference, Methods/Statistics, Misclassification, P-Values, Quantitative Bias Analysis, Simulation, Statistics (e.g. Hypothesis Testing), Validation Studies 0

Matthew Fox & Lisa Bodnar

December 5 2018

Issues in Self-Controlled Analyses

Suzanne Bevan Society Collaborations, Video, Webinar Case-Control, Case-Crossover, Confounding, Methods/Statistics, Misclassification, Pharmacoepidemiology

Society for Epidemiologic Research

Contact:

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

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