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Explores statistical models for drawing scientific inferences from multilevel and longitudinal public health data. Includes topics: multilevel causes in public health, longitudinal as a leading example of multilevel data, study design, exploring multilevel and longitudinal data; linear and generalized linear regression models for correlated data including marginal, random effects, and transition models; and handling missing data.