Course catalogue doctoral education - VT24
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Title | Statistics with R - from data to publication figure |
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Course number | 2953 |
Programme | 0-Inte del av forskarutbildningsprogram |
Language | English |
Credits | 3.0 |
Date | 2019-03-11 -- 2019-03-29 | Responsible KI department | Institutionen för laboratoriemedicin |
Specific entry requirements | none |
Purpose of the course | Do you need to turn data into a publication figure? We offer tools and confidence for the student to independently select a statistical method for research questions in their field. The course is practical and includes implementing a basic statistical analysis in R, the leading statistical programming language in bioinformatics and medical science. Furthermore, we give a brief introduction to visualization in R, with a focus on R/ggplot2. Students can bring data from their own research project, or work on data from the course. |
Intended learning outcomes | By the end of the course the student should be able to: *download and install the latest versions of R and Rstudio. *know where to look for help when working in R. *know how to import data into R. *use R for basic analysis and presentation of data in their field. *select statistical method and motivate the choice using a structured approach. *communicate efficiently with a statistician about their choice of statistical method. |
Contents of the course | Basics of R. Download, install, import data, basic analysis, how to get help. Visualization of data. Learn to speak statistics. A structured approach to selecting statistical method and communicating with a statistician. Practice how to go from data to publication figure using data from your project or more or less friendly data offered by the course. |
Teaching and learning activities | Distance learning with online lectures, quizzes and interaction with other students. Campus lectures and computer work using your own computer. Individual project work. Digital poster presentation of individual work. |
Compulsory elements | Online quizzes and tasks. Participation during Poster Presentation day. |
Examination | Poster presentation and peer review. |
Literature and other teaching material | The literature is recommended , but not compulsory. Most information can be found online for free. Dalgaard - Introduction to statistics with R Crawley - Statistics an introduction using R Wickham - ""ggplot2: Elegant Graphics for data analysis"" |
Number of students | 10 - 25 |
Selection of students | Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date) |
More information | The course starts with an introduction, followed by time to do the online components with a voluntary workshop session during week two. Week three focuses on your own project, from data to figure, interspersed with lectures and workshops. The course concludes with a presentation day. The physical parts of the course are held at the KI Campus Flemingsberg. |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Johan Boström Institutionen för laboratoriemedicin johan.bostrom@ki.se |
Contact person |
Maria Westerstahl Institutionen för laboratoriemedicin Maria.Westerstahl@ki.se Eric Rullman Institutionen för laboratoriemedicin Eric.Rullman@ki.se |