Bios 776: Causal Inference in Biomedical Research

Spring 2019

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Instructor:	Time and location:
Michael G Hudgens PhD	Tuesday and Thursday 9:30-10:45am
Professor
Department of Biostatistics
Email: mhudgens@bios.unc.edu	230 Rosenau
Telephone: 919 966 7253
Office: 3107C McGavran-Greenberg
Office hours: Mondays 10a

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Syllabus

Hernan and Robins book Part I Part II Part III References Website

UNC Causal Inference Research Group

NHEFS data codebook sas7bdat xls csv

Lecture notes:

Introduction

1 A definition of causal effect

2 Randomized experiments

3 Observational studies

4 Effect modification

5 Interaction

6 Graphical representation of casual effects

7 Confounding

8 Selection bias (supplement)

9 Measurement bias

10 Random variability

Midterm review

11 Why model? R code SAS code

12 IP weighting and marginal structural models R code SAS code

13 Standardization and the parametric g-formula R code SAS code

14 G-estimation of structural nested models R code SAS code

15 Outcome regression and propensity scores R code SAS code

Precision medicine

16 Instrumental variable estimation R code SAS code

Time varying exposures

Final review

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