Course focuses on advanced design and analysis topics. Three to five topics will be covered from the following list of topics: Case-crossover / case-specular design and analysis; G-estimation / IPTW / marginal structural models / nested marginal structural models; Bias analysis; Propensity scores / disease scores / other scoring; Instrumental variables and aggregate analysis; Hierarchical modeling; Bayesian analysis; Missing data methods; Longitudinal data analysis. For each topic, there will be a week of reading and review on the theory, a week introducing an applied example, followed by a week of group or individual work during which the example problem will be solved by conventional and then also the advanced method. We will reconvene for a last week when the results of the analytic work will be reviewed and compared across groups and individuals.

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.