NRSG 736: Quantitative Analysis of Clinical Research Data, Fall Course
Category : Academic Student Opportunities
Course Description
The course objective is to build and expand upon the statistical theory and methods learned in BIOS 500 and 501 and improve the student’s statistical software experience and programming skills (emphasis on SAS, SPSS or R) to improve their research scholarship and dissemination. All exercises and homeworks provide the analysis codes in SAS, SPSS and R which is a great way for students who know one programming language to easily learn the others at the same time (this is a benefit not a requirement).
The course focuses on practical application of statistics addressing clinical research questions. Analyzing data is the major emphasis of the course including examining if assumptions of the statistical analyses are being met and interpreting the findings. Course assignments and a final project focus on using statistical software and computing resources to analyze data sets from actual clinical research studies and literature with interpretation and assessment of conclusions.
Course Details
- Instructor: Melinda Higgins, Ph.D.
- Meeting Times: Mondays 11:00-11:50am; Wednesdays 1:00-2:50pm
- In class/computer lab time: 1 hour lecture; 2 hours computer lab per week
