Advanced Research Methods in Global Health

Catalog description

This course is intended for upper-level masters students interested in applied research methods and doctoral students working towards their dissertations. The focus is on providing skills for conducting program, impact or other forms of evaluation using econometric methods to analyze health, population, and nutrition data. Of particular focus will be analyses of population-based household surveys using the Stata 16.0 statistical software package. Key topics that will be covered are: research methods and designs, linear regression models with their assumptions and limitations, limited dependent variable models (logit, probit tobit, multinomial logit), instrumental variables and two-stage least squares, sample selection and censored regression models, multilevel models, propensity score matching, applications of program evaluations, and time series analysis with pooled and longitudinal data.