Course catalogue doctoral education - HT20

  • Ansökan kan ske mellan 2020-04-15 och 2020-05-15
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Title Advanced course in SAS programming for health care data
Course number 2868
Programme Epidemiologi
Language English
Credits 1.5
Date 2019-12-02 -- 2019-12-06
Responsible KI department Institutionen för medicin, Solna
Specific entry requirements Introductory course in SAS programming (course 1447), Epidemiology I: Introduction to Epidemiology (course 1577) and Biostatistics I: Introduction for epidemiologists (course 1579) or corresponding courses.
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, with required prerequisite knowledge, will be selected based on 1) the relevance of the syllabus for the applicant's doctoral project (according to written motivation), and 2) date for registration as doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a description of current research and motivation for attending, and an account of previous courses taken.
More information Students are required to have skills in SAS corresponding to the learning outcomes of the course Introductory course in SAS programming (or corresponding courses).
Additional course leader
Latest course evaluation Course evaluation report
Course responsible Thomas Frisell
Institutionen för medicin, Solna
Contact person Thomas Frisell
Institutionen för medicin, Solna