Syllabus database for doctoral courses

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SYLLABI FOR DOCTORAL COURSES

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Swedish title Statistik med R - från data till publikationsfigur
English title Statistics with R - from data to publication figure
Course number 2953
Credits 3.0
Responsible KI department Institutionen för laboratoriemedicin
Specific entry requirements none
Grading Passed /Not passed
Established by The Board of Doctoral Education
Established 2018-09-19
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""
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