Kurskatalog forskarutbildning - VT24
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| Titel | Statistics with R - from data to publication figure |
|---|---|
| Kursnummer | 2953 |
| Program | 0-Inte del av forskarutbildningsprogram |
| Språk | Engelska |
| Antal högskolepoäng | 3.0 |
| Datum | 2018-04-25 -- 2018-05-18 | Kursansvarig institution | Institutionen för laboratoriemedicin |
| Särskild behörighet | none |
| Kursens syfte | 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. Furthermore we teach a structured way to discuss their choice efficiently with a professional statistician. The course is practical and includes implementing a basic statistical analysis in R, the leading statistical programming language in bioinformatics and medical science. Students can bring data from their own research project, or work on data from the course. |
| Kursens lärandemål | 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. |
| Kursens innehåll | Basics of R. Download, install, import data, basic analysis, how to get help. 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. |
| Arbetsformer | Distance learning with online lectures, quizzes and interaction with other students. Campus lectures and computer work using your own computer. Individual project work. |
| Obligatoriska moment | Online quizzes and tasks. Active participation in online discussions (asynchronous, not bound to a particular time of day). Active participation in computer lab sessions. Written report including executable code. Active attendance in seminar. Compulsory attendance approximately four afternoons and one day. |
| Examination | Online examination. Participation in labwork and seminar. Written project work with executable code. |
| Kurslitteratur och övriga läromedel | 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 |
| Antal studenter | 20 - 30 |
| Urval av studenter | 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) |
| Övrig information | The course starts with a kickoff meeting April 25 at 0930-1200 helping you to get started with the distance learning part of the course. The distance learning is at your own pace, but should be finished by May 13. For the novice, the distance learning corresponds to one week full time studies. May 14 through 18 are scheduled full days with lectures, work shop, preparation time and poster presentations. All scheduled activities take place in Huddinge. |
| Ytterligare kursledare | Eva Hagel |
| Senaste kursvärdering | Kursvärderingsrapport |
| Kursansvarig |
Andreas Montelius Institutionen för laboratoriemedicin 0704158108 Andreas.Montelius@ki.se Karolinska University Hospital 14186 Stockholm |
| Kontaktpersoner |
Eva Hagel Institutionen för lärande, informatik, management och etik eva.hagel@ki.se |
