Course catalogue doctoral education - VT24
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Title | Fundamentals of Stata Language |
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Course number | 5315 |
Programme | Epidemiology |
Language | English |
Credits | 1.5 |
Date | 2022-09-12 -- 2022-09-16 | Responsible KI department | Department of Global Public Health |
Specific entry requirements | |
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/ |
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 | The content on how Stata can be used to analyze epidemiological data is not covered in this course. Students should bring their own laptop with a Stata license (any version will do). |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Nicola Orsini Department of Global Public Health Nicola.Orsini@ki.se |
Contact person |
Veronique Henriksson Institutionen för global folkhälsa veronique.henriksson@ki.se |
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