Course catalogue doctoral education - VT24
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Title | Introduction to R |
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Course number | 2958 |
Programme | Epidemiologi |
Language | English |
Credits | 1.5 |
Date | 2024-03-11 -- 2024-03-22 | Responsible KI department | Institutionen för medicinsk epidemiologi och biostatistik |
Specific entry requirements | Biostatistics I: Introduction for epidemiologists or corresponding courses. |
Purpose of the course | The purpose of this course is to introduce students to using the R statistical software to perform basic to intermediate statistical data analysis in a replicable manner. |
Intended learning outcomes | After successfully completing this course, students are expected to be able to:
- explain basic concepts of the R language and environment, the online- and offline sources of documentation for R, and basic concepts of data management and workflow in a standard statistical analysis, - run a standard statistical analysis interactively within the R environment, - formalize and document such a standard analysis as a stand-alone R script, - produce graphical representations, as part of reporting their analysis, - interpret their scripts for potential simplifications via functional implementation, - find, install and compare extension packages for unfamiliar statistical applications. |
Contents of the course | The course will cover the basic elements of a standard statistical workflow: reading data into R; pre-processing and quality assessment of data via numerical and graphical methods; descriptive statistics via summary measures, tabulations and graphics; basic statistical inference in terms of significance testing and confidence intervals; specification, fitting & diagnosis of regression models; exporting and reporting results from the previous steps.
The course includes an introduction to the Rstudio integrated development environment to provide a common framework for interactive and scripted analysis. The extensibility of the R system will be demonstrated by example. |
Teaching and learning activities | Theoretical concepts and background will be covered via presentations, demonstrations, live exercises and discussions. Students will practice the application of these ideas in individual and small-group lab exercises with support from qualified teaching assistants. Formative assessment will be integrated via quizzes and lab reviews.
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Compulsory elements | The individual examination (summative assessment) is compulsory. |
Examination | Students will perform an open-book examination based on practical application of the concepts presented during the course to realistic data sets and problems.
Students who do not pass the examination will be offered a second examination within two months from the end of the course (excluding academic holidays). |
Literature and other teaching material | 1. Lecture notes and code examples as provided by the course
2. Official R manuals and documentation available within the software 3. Selected material from the contributed documentation available from the Complete R Archive Network at https://cran.r-project.org/other-docs.html |
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 course is extended over time in order to promote reflection and reinforce learning. The course will be given remotely. Course dates are March 11, 12, 14, 18, 20, 22. |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Alexander Ploner Institutionen för medicinsk epidemiologi och biostatistik 0852482329 Alexander.Ploner@ki.se |
Contact person |
Gunilla Nilsson Roos Institutionen för medicinsk epidemiologi och biostatistik 08-524 822 93 gunilla.nilsson.roos@ki.se |