January 15 2020 Causal Directed Acyclic Graphs (DAGs) Methodological Playlists, SERplaylists Collider Bias, Confounding, DAGs 0 Jessica Rohmann, Charité – Universitätsmedizin Berlin
August 1 2019 Propensity Scores Methodological Playlists, SERplaylists Causal Inference, Methods/Statistics, Pharmacoepidemiology, Propensity Score 0 Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
May 10 2019 Agent-Based Modeling in Epidemiology Methodological Playlists, SERplaylists Mathematical Modeling, P-Values, Simulation, Statistics (e.g. Hypothesis Testing) 0 Magdalena Cerda & Katherine Keyes
April 17 2019 Remove the hesitation from your validation 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
April 17 2019 The elephant in the room: Causal inference in the face of competing events Methodological Playlists, SERplaylists Causal Inference, Competing Risks, Pharmacoepidemiology 0 Jessie K. Edwards & Jessica G. Young
April 17 2019 The Promise and Peril of Randomness Methodological Playlists, SERplaylists Causal Inference, Doubly Robust Estimators/TMLE, Infectious Disease, Machine Learning, Mathematical Modeling, Methods/Statistics, P-Values, Statistics (e.g. Hypothesis Testing) 0 Eric Lofgren, Washington State University
January 4 2019 Super Learner and R Coding Methodological Playlists, SERplaylists Causal Inference, Machine Learning, Mathematical Modeling, Methods/Statistics 0 Laura Balzer, University of Massachusetts, Amherst
October 10 2018 Case-Control Studies Methodological Playlists, SERplaylists Cancer, Case-Control 0 Charles Poole, University of North Carolina, Chapel Hill
August 21 2018 Measuring SES Methodological Playlists, SERplaylists Causal Inference, Geospatial, Health Disparities, Methods/Statistics, Race, Social, Validation Studies 0 Anusha Vable, UCSF
May 29 2018 A Random Shuffle 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, University of North Carolina, Chapel Hill
