current courses

I am not teaching in the Spring 2017 semester.

past courses

Public Health 242C: Longitudinal Data Analysis (Fall 2016)

The course covers the statistical issues surrounding estimation of effects using data on subjects followed through time. The course emphasizes a regression model approach and discusses disease incidence modeling and both continuous outcome data/linear models and longitudinal extensions to nonlinear models (e.g., logistic and Poisson). The primary focus is from the analysis side, but mathematical intuition behind the procedures will also be discussed.

Public Health 142: Introduction to Probability and Statistics (Fall 2016)

Descriptive statistics, probability, probability distributions, point and interval estimation, hypothesis testing, chi-square, correlation and regression with biomedical applications. Co-taught with Dr. Maureen Lahiff.

Public Health 252D: Introduction to Causal Inference (Spring 2016)

This course presents a general framework for causal inference using directed acyclic graphs, non-parametric structural equation models, and counterfactuals. Marginal structural models and causal effect estimation using inverse probability of treatment weighting, G-computation, and targeted maximum likelihood are introduced. In two-part presentations, students will define and implement research questions.