This course will introduce advanced data analysis techniques common in clinical, behavioral and health outcomes research. Students will learn how to conduct and interpret mediational effects and path analysis, multivariate statistical models, repeated measures analysis, nonparametric analysis, and logistic regression models. Although the mathematical basis of the techniques will be considered, the course emphasizes the appropriate use and interpretation of these techniques.
Outcomes: Upon successful completion of the course, the student will be able to: 1) Select appropriate analytic techniques based on the research questions; 2) Understand the computational basis for statistical techniques covered in this course; 3) Evaluate assumptions associated with each statistical technique; 4) Employ statistical software to conduct the appropriate analysis; 5) Interpret the results and make statistical inference.
Outcomes: Upon successful completion of the course, the student will be able to: 1) Select appropriate analytic techniques based on the research questions; 2) Understand the computational basis for statistical techniques covered in this course; 3) Evaluate assumptions associated with each statistical technique; 4) Employ statistical software to conduct the appropriate analysis; 5) Interpret the results and make statistical inference.