Applied Data Analysis Lab.

Catalog description

Semester course; 3 laboratory hours. 3 credits. Prerequisite: BIOS 543 with a minimum grade of B. Corequisite: BIOS 544 . Enrollment is restricted to graduate students in the Master of Public Health program; other graduate students may enroll with permission of instructor and program administrator. Lab sessions will focus on hands-on data analysis and presentation techniques using SAS statistical software. Techniques and approaches include basic SAS principles such as data manipulation, descriptive procedures, testing, data visualization, linear and logistic regression, model building, Poisson regression and survival analysis. The labs will also provide exercises to help students more fully understand the statistical principles presented in the corequisite biostatistics lecture course.