Introduction to SAS

Course content

We will introduce SAS programming to conduct data management, and standard methods for conducting descriptive and analytical statistics. Besides programming, emphasis will put on explaining the theoretical foundation,  and discuss the methods' applicability on selected examples.

Education

MSc in Public Health Science - elective courses

Learning outcome

After completing the course, the student should be able to:

Knowledge

  • Be familiar with basic data steps and procedures in SAS
  • Interpret SAS output from data management and analysis

 

Skills

  • Write SAS code to manage data, and prepare data for analysis
  • Write SAS code to analyze data, using an appropriate statistical model

 

Competencies

  • Apply SAS coding for data management anad analysis
  • Evaluate appropriateness of statistical model for selected problems, using SAS

Mixture of lectures and labs. Students must bring laptop with SAS installed. SAS can be downloaded from softwarebiblioteket.

Lecture notes, and the text book 'The little SAS book'  by L.D. Delwiche and S.J. Slaughter, SAS Publishing.

Students are required to have passed 'Introduktion til statistik' SFOA09038U7SFOA09034E and 'Introduktion til epidemiologi' SFOA09014U/SFOA09011E at the BA-level of the education in Public Health Science.

Oral feedback is given during the course. After ended exam, students can get feedback on results by contacting the course responsible.

ECTS
5 ECTS
Type of assessment
Practical written examination, 24 hours
Individual assignment of max 5 pages, plus SAS-code appendice
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
En intern bedømmer
Criteria for exam assessment

Knowledge

  • Be familiar with basic data steps and procedures in SAS
  • Interpret SAS output from data management and analysis

 

Skills

  • Write SAS code to manage data, and prepare data for analysis
  • Write SAS code to analyze data, using an appropriate statistical model

 

Competencies

  • Apply SAS coding for data management anad analysis
  • Evaluate appropriateness of statistical model for selected problems, using SAS
  • Category
  • Hours
  • Lectures
  • 10
  • Exercises
  • 10
  • Preparation
  • 108
  • Exam
  • 10
  • English
  • 138