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