Course catalogue doctoral education - VT22

  • Application can be done between 2021-10-15 and 2021-11-15
Application closed
Title Advanced Course in SAS Programming for Health Care Data
Course number 2868
Programme Epidemiology
Language English
Credits 1.5
Date 2021-11-29 -- 2021-12-03
Responsible KI department Department of Medicine, Solna
Specific entry requirements Knowledge corresponding to the intended learning outcomes of the KI doctoral courses Introductory course in SAS programming, Epidemiology I: Introduction to Epidemiology, Biostatistics I: Introduction for epidemiologists and Biostatistics II: Logistic regression for epidemiologists.
Purpose of the course The purpose of this course is to give students with prior experience in SAS the foundation needed to work independently with large data bases in SAS, performing the data management needed for observational studies from for instance a register linkage.
Intended learning outcomes After this course the student should be able to
- independently use a wide range of SAS functions and procedures for data management
- manage data using Proc SQL, and in a given situation decide whether to use SQL or SAS Base
- develop basic SAS macros
- use core statistical procedures, and export results to other software

Intended learning outcomes are classified according to Bloom's taxonomy: knowledge, comprehension, application, analysis, synthesis, and evaluation (Bloom, 1956, extended by Anderson and Krathwohl, 2001).
Contents of the course Students will develop their skills in processing data using built-in functions and procedures, including loops, learn how to merge data sets and perform operations with SAS Base and SQL coding, and the benefits and tricks of transposition, where one moves between "long" and "wide" data sets. Students will also learn how to write user written functions (macros) in SAS, and work through examples of how to analyse data with core statistical techniques, and export relevant results to edited tables. Although exercises during the course will use health care data, the same skills would be useful for studies in e.g., demography, sociology, and economics.
Teaching and learning activities Different strategies for teaching and learning, such as interactive lectures, laboratory exercises and small group discussions, will be used. Daily, formative assessments are used to support the students' learning processes.
Compulsory elements The individual examination (summative assessment) is compulsory.
Examination A computerized individual take-home examination with realistic assignments, corresponding to the learning outcomes of the course. Students will be allowed to use any literature during the exam, including access to the Internet. Students who do not pass the examination will be offered a second examination within two months.
Literature and other teaching material Course compendium, handouts, and example code in SAS.
Number of students 8 - 25
Selection of students Eligible doctoral students will be prioritized according to 1) the relevance of the course syllabus for the applicant’s doctoral project (according to written information), 2) date for registration as a doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, as well as an account of previous courses taken.
More information Please note the specific entry requirements for the course.
Additional course leader
Latest course evaluation Course evaluation report
Course responsible Thomas Frisell
Department of Medicine, Solna
Contact person Thomas Frisell
Institutionen för medicin, Solna