Medical Statistics with Stata
Postgraduate course
- ECTS credits
- 2
- Teaching semesters
- Autumn, Spring
- Course code
- MEDSTATA
- Number of semesters
- 1
- Teaching language
- Norwegian.English if International PhD candidates.
- Resources
- Schedule
- Reading list
Course description
Objectives and Content
Aim:
The course will give an introduction to the statistics program STATA with examples of uses in medical research
Content:
- Data managing/manipulation, documentation
- Simple descriptive statistics
- Simple analysis of continuous variables (t-test, correlation, linear regression)
- Simple analysis of categorical variables with contingency tables (Chi-square ¿ and Fisher¿s exact test)
- Survival analysis (Kaplan-Meier curves, log-rank test)
- Graphics with STATA
- Menus, log-files and do-files in STATA
- Usage of the help function in STATA and online resources
Learning Outcomes
Knowledge
After completion of the course the student should be able to:
- Understand and manage data and perform simple statistical analyses with Stata
Skills
After completion of the course the student should be able to:
- Work with syntax in DO-files in Stata
- Save results in log-files and edit them in a text editor like Word
- Import and export datasets
- Describe and explore datasets
- Create new variables
- Combine datasets
- Perform simple statistical analyses in Stata for continuous and categorical variables (descriptive statistics, t-tests, correlation, linear regression, table-analysis, Kaplan-Meier analysis, log-rank test)
- Create graphical plots with Stata (scatter-plot, line-plot, bar-plot, histogram)
- Edit graphs
Generalized skills
After completion of the course the student should be able to:
- Understand how a typical statistics program works
- Have a basis for starting to use other similar programs
Level of Study
Semester of Instruction
Required Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Course registration on Studentweb, deadline 1. September.
Visiting student at the Faculty of Medicine, deadline 1. June:
http://www.uib.no/en/mofa/66315/visiting-student-faculty-medicine-and-dentistry-hospitantstudierett
Teaching and learning methods
Lectures and individual practices in STATA with help. Home work.
3 days.
Total hours: 15 hours + home work