Syllabus database for doctoral courses
-
Startpage
Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
| Swedish title | Påbyggnadskurs i SAS-programmering för hälsorelaterad data |
|---|---|
| English title | Advanced course in SAS programming for health care data |
| Course number | 2868 |
| Credits | 1.5 |
| Responsible KI department | Department of Medicine, 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. |
| Grading | Passed /Not passed |
| Established by | The Board of Doctoral Education |
| Established | 2016-03-17 |
| 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. | Course responsible |
Thomas Frisell Department of Medicine, Solna thomas.frisell@ki.se |
| Contact person |
Thomas Frisell Department of Medicine, Solna thomas.frisell@ki.se |
