Biomedical Research Computing. The course provides an introduction to statistical programming, including data input, data set creation, mathematical algorithms, and procedures for analysis. P-Working knowledge of the basic operations of a personal computer or permission of instructor. Applied Linear Models. The topics of the course include simple and multiple linear regression, experimental design, analysis of variance and convariance, and repeated measures analysis.
Emphasis is given to proper application and interpretation of statistical methods and results.
P-CEHS 730 or permission of instructor. Applied Linear Models Laboratory. This course accompanies CEHS 732. Students will complete short exercises and statistical computing assignments using the analytic methods taught in Applied Linear Models. Focus will be on building skills in using software packages for data analysis and in the appropriate interpretation of results.