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Use of the statistical software R
Provider: Faculty of Health and Medical Sciences
Activity no.: 3314-15-00-01
Enrollment deadline: 28/09/2015
Date and time
16.11.2015, at: 08:00 - 20.11.2015, at: 16:00
Regular seats
27
Course fee
1,800.00 kr.
Lecturers
Theis Lange
ECTS credits
2.10
Contact person
Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk
Enrolment Handling/Course Organiser
PhD administration SUND E-mail address: phdkursus@sund.ku.dk
Aim and content
Please note: This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on waiting list for the course until enrollment deadline. After the deadline, available seats will be allocated to students on the waiting list.
Aim
To enable the student to work with the statistical software R. R is a free (based on open source principles) statistical software package, which is supported by a very large international research community. The program can be used to do all types of statistical analyses. Due to the open principles and the large supporting research community the latest statistical techniques are almost always available in R long before the commercial programs (SAS, SPSS, Stata).
Content
We will explain basic use of R; from data management through descriptive statistics and standard analysis to downloading and using packages with the latest statistical techniques from the web. Roughly half of the course will be spent doing exercises in the computer-rooms or using your own laptop. Main focus will be on the use of R, but there will also be time for discussing more statistical aspects of the methods. The whole course will be structured around a few real life cases.
Participants
Ph.D.-students. Knowledge of basic statistics at a level corresponding to ”Basic statistics for health researchers” will be advantageous. Max. 27 participants.
Language
Danish or English.
Form
Forum lectures with class exercises.
Course director
Associate professor Theis Lange, Department of Biostatistics
Teachers
Associate professor Theis Lange.
Course secretary
Susanne Kragskov Laupstad, Department of Biostatistics, e-mail: skl@sund.ku.dk
Dates
16., 18., 20 November 2015, all days 8-15.
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