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Programming and statistical modelling in R
Provider: Faculty of Health and Medical Sciences
Activity no.: 3329-17-00-00
Enrollment deadline: 06/03/2017
Date and time
04.04.2017, at: 09:00 - 05.04.2017, at: 16:00
Regular seats
16
Course fee
3,120.00 kr.
Lecturers
Klaus K. Holst
ECTS credits
1.80
Contact person
Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk
Enrolment Handling/Course Organiser
PhD administration E-mail address: phdkursus@sund.ku.dk
Aim and content
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 enroled as a PhD student at the Graduate School, you will be placed on the waiting list until enrolment deadline. After the enrolment deadline, available seats will be allocated to applicants on the waiting list.
The course is free of charge for PhD students at Danish universities (except Copenhagen Business School). Special rules apply for research year students enroled at Faculty of Health and Medical Sciences at UCPH. All other participants must pay the course fee.
Learning objectives
The aim of the course is to make the participants able to
• import and export data in various formats including interaction with relational databases
• do efficient data manipulation and aggregation
• use programming principles (loops and functions) to handle repetitive tasks
• do reproducible research using Markdown
• do regression analysis in R for both categorical and continuous outcomes
Content
The course covers use of the statistical software package R. The aim is to take the intermediate R user to the next level, and make use of programming techniques for more efficient use of R. We consider some statistical details related to regression models including models for categorical data and survival analysis.
Participants
Ph.D.-students and health researchers with a basic knowledge of statistics corresponding to the course on basic statistics for health researchers and with a good working knowledge of R, e.g., as obtained by having already followed an introductory course on R. Participants are expected to bring their own laptop with R installed for the exercises. Max. 16 participants.
Use of the statistical software R
Language
Danish or English.
Form
2 days of lectures and computer exercises. To pass the course students must submit a written solution to an exercise which will be given April 5th, 2016. Deadline for submission is April 12th, 2016.
Course director
Associate Professor Klaus Holst, Section of Biostatistics
Teachers
Professor Thomas Scheike and associate professor Klaus Holst, Section of Biostatistics.
Course secretary
Susanne Kragskov Laupstad, Department of Biostatistics, e-mail: skl@sund.ku.dk
Dates
4 and 5 April 2017 from 8-15.
Course location
CSS
Registration: Please register before 6 March 2017.
Admission to Ph.D.-students from Danish universities will be allocated on a first-come, first-served basis and according to the rules in force.
Applications from other participants will be considered after last day of enrollment.
Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students) If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.
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