8th Summer Institute in Statistics and

Modeling in Infectious Diseases

CAUSAL INFERENCE

Summer 2016

Instructors

 

 

Thomas Richardson PhD

Michael G 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

 

Measures of 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

 

G-methods

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: 2 January 2018