The goal of this course is to continue development and application of skills in statistical analysis required in epidemiologic and health care research. Students will acquire an understanding and practice in fitting and interpreting linear regression models, logistic regression models and survival analysis models including the use of regression splines to relax assumptions of linear relationships; gain an understanding of model validation, variable selection methods and their implications for model validity and be able to use bootstrapping or cross-validation to perform internal validation; and understand the basic classifications of missing data and learn some approaches to deal with it.