This course provides detailed introduction to the advanced statistical methods including techniques for predicting both continuous and categorical outcomes, methods to cluster cases, create statistical groupings of variables, and find similar cases using a large set of variables.

Topics Covered: Factor Analysis, K-Means Cluster Analysis, Two Step Cluster Analysis, Binary Logistic Regression, Multinomial Logistic Regression, Discriminant Analysis, Nearest Neighbor Analysis, Kaplan-Meier Analysis, Cox Regression, Generalized Linear Models, Linear Mixed Models,