## Teaching

### 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.