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.