The purpose of this course is to introduce the basic principles and methods of multivariate statistics, providing students with a toolbox of statistical methods and the knowledge of when to apply the methods. This course covers advanced concepts and techniques of descriptive and inferential statistics with applications in the medical and public health fields. Multivariate methods including multiple linear regression, logistic regression, MANOVA, survival analysis, and principal components analysis are presented.
Upon completion of the course students will:
1. Appropriately design and interpret multivariate statistical models and tests
2. Be able to choose the appropriate statistical technique to apply given the hypothesized question asked.
3. Use appropriate software packages to solve analytic problems.
4. Critically read, critique, and interpret published research.