Introduction to R
Speaker: Adrian Rohit Dass
Date/Time: October 2, 10 AM – 12 PM
Location: Health Sciences Building (155 College Street, Toronto ON), Room HS 100
R is a statistical software environment that is available, free of charge, from the Comprehensive R Archive Network (https://www.r-project.org). It contains a wide array of statistical routines found in commercial software packages, including (but certainly not limited to) Ordinary Least Squares (OLS), binary responses (Logit/Probit), Panel Data Econometrics (Fixed effects, Random effects, Arellano–Bond, etc.), Two-stage Least Squares/Instrumental Variable, Linear and Generalized Linear Mixed-Effects Models, etc. This session will give an overview of the use of R for statistical analysis. It will begin with reading/cleaning data, followed by commands for descriptive statistics and regression analysis. All are welcome.
Adrian Rohit Dass is a Research Coordinator at the Institute of Health Policy, Management, and Evaluation at the University of Toronto. He holds a Masters Degree in Economics from the University of Guelph. He is interested in the application of econometric methods to survey and administrative data from longitudinal studies. His primary area of research is applied microeconometrics in the field of health economics.