Introduction to Instrumental Variables Based Methods for Causal Inference in Health Research
 

Introduction to Instrumental Variables
Based Methods for Causal Inference
in Health Research

EnRICH (Research Innovations & Challenges) Webinar
Maternal Child Health Research Program

Please join us on: Monday, March 14, 2016
2:00 pm - 3:30 pm ET

Objectives

  1. Understand the situations in which instrumental variables can be useful in health research

  2. Describe the assumptions and interpretations for instrumental variables based effect estimates

  3. Learn examples of instrumental variables used in health research, including policy differences, genetic variants, and other examples

  4. Learn basic concepts for implementing instrumental variables analyses and understand whether the methods are feasible in your research setting

Guest Speaker

 

Maria Glymour, Ph.D.

Dr. Maria Glymour is an Associate Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco, where she directs the UCSF PhD program in Epidemiology and Translational Science.
Dr. Glymour’s research interest is how social factors experienced across the lifecourse, such as educational attainment and work environment, influence health and health inequalities in adulthood and old age. Her research draws on instrumental variables methods and other analytic approaches to distinguish causal effects from non-causal correlations, especially in studies of social determinants of health. Such distinctions are critical to translate observational research into effective population health interventions. She has used genetic instrumental variables (in Mendelian Randomization studies) as well as policy discontinuities to evaluate long term health effects of modifiable social or behavioral risk factors.

Register Now