Regression Analysis in the R Programming Language

This course will provide a basic introduction to multivariate analysis in the R programming language. Topics covered include linear regression, logit and probit models, analysis of randomized trial data, instrumental variables, the bootstrap, and data visualization. Students will be expected to complete a course project, which can be related to their dissertation.