10th Summer Institute in Statistics and
Modeling in Infectious Diseases
CAUSAL INFERENCE
Summer 2018
Instructors
Thomas Richardson PhD
Michael Hudgens PhD
Professor and Chair
Professor
Department of Statistics
Department of Biostatistics
University of Washington
University of North Carolina
E-mail: tsr [at] stat [dot] washington [dot] edu
Email: mhudgens@bios.unc.edu
Lecture Notes
Introduction
Dependence, confounding and collapsibility
Directed acyclic graphs, d-separation
G-methods (Hernan and Robins book)
SWIGs: graphs and counterfactuals
Direct effects
Instrumental variables and non-compliance
Interference
Code and Data
Introduction R code
R packages
R labs
NHEFS data codebook sas7bdat xls csv
MSM R code SAS code
G formula R code SAS code
G estimation R code SAS code
Outcome regression SAS code
Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina. Last updated: 21 July 2018