Syllabus database for doctoral courses
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Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
| Swedish title | Grundläggande Stata språk |
|---|---|
| English title | Fundamentals of Stata Language |
| Course number | 5315 |
| Credits | 1.5 |
| Responsible KI department | Institutionen för global folkhälsa |
| Specific entry requirements | |
| Grading | Passed /Not passed |
| Established by | The Committee for Doctoral Education |
| Established | 2021-03-23 |
| Purpose of the course | This course aims at introducing students to the fundamental elements of the statistical software Stata. Motivating examples arising from health-related research will be used to demonstrate how to use the programming language. Learning activities will give students the possibility to learn Stata the hard yet easier way – that is – problem, code, and run. |
| Intended learning outcomes | After successfully completing this course you as a student should be able to:
- describe quantitative, categorical, and string data - recode existing variables - explain how to work with time and space variables - select an appropriate visualization according to the data - illustrate how to control and automatize code - draw random variables from realistic mechanisms - compare distributions of statistics under repeated sampling - write do-files for preparing and analysing research data - create well-structured do-files to facilitate reproducible research |
| Contents of the course | This course is providing the basics to import, and describe common forms of data; create tables of descriptive statistics eventually stratified; generate new variables; recode existing variables; and visualize either empirical data or theoretical data. Advanced topics include define a new function; avoid replication of code by looping; and simulate a plausible data generating mechanism. Learning activities will be based on real or hypothetical studies arising in health-related research. |
| Teaching and learning activities | Lectures, group work, exercises, and individual coding workout using Stata®. |
| Compulsory elements | The individual examination (summative assessment) is compulsory. |
| Examination | Individual written examination. Students who do not obtain a passing grade in the first examination will be offered a second chance to resubmit the examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. |
| Literature and other teaching material | Useful link: http://www.stata.com/links/resources-for-learning-stata/ | Course responsible |
Nicola Orsini Institutionen för global folkhälsa Nicola.Orsini@ki.se |
| Contact person |
Veronique Henriksson Institutionen för global folkhälsa veronique.henriksson@ki.se |
