Reliability and Validity of Systems Science Models in Epidemiology
Katherine Keyes and Eleanor Murray
SERdigital Archives
Application of propensity scores and inverse probability weighting for estimating policy-relevant effects in epidemiology
SERdigital, Video, Webinar Causal Inference, Cohort, Confounding, External Validity, HIV/STI, Inverse Probability Weight, Mental Health, Methods/Statistics, Missing Data, P-Values, Propensity Score, Randomized Controlled Trial, Selection Bias, Statistics (e.g. Hypothesis Testing), Transportability
Liz Stuart
The use of machine learning to analyze big data: Opportunities and Challenges for Epidemiology
SERdigital, Video, Webinar Big Data, Causal Inference, Machine Learning, Pharmacoepidemiology, Physical Activity/Sports Medicine, Social
Stephen Mooney, Nicholas Tatonetti, Julie Petersen, Justin Rodgers
Representative sampling is overrated. AGREE OR DISAGREE?
SERdigital, Video, Webinar Cancer, Generalizability, Genetics, Methods/Statistics, Missing Data, Natural Disasters, Representativeness, Validation Studies
Sandro Galea, John Gallacher, J. Michael Oakes, Jeremy Labrecque, Chelsea Obrochta, Juan Carlos Nobrega
Exploring Epidemiologic and Econometric Approaches to Causal Inference
Sandra Decker, Miguel Hernan, Jay Kaufman
Perspective of relative versus absolute effect measures
SERdigital, Video, Webinar Bayes, Case-Control, Infectious Disease, Inverse Probability Weight, Missing Data, P-Values, Perinatal, Social Media, Statistics (e.g. Hypothesis Testing), Surveillance
Charles Poole, UNC Chapel Hill Donna Spiegelman, Harvard University