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Advanced Biostatistics will introduce special methods and topics, relying on the principles taught in Introductory Biostatistics. These include study design, confounding, methods to minimize and adjust for confounding including matching, stratification, regression modeling and propensity scores, predictive modeling, recursive partitioning and Bayesian methods. All of the methods will be presented with examples from continuous, categorical and censored outcomes.