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Statistical analysis of survival data
Provider: Faculty of Health and Medical Sciences

Activity no.: 3300-18-00-00 
Enrollment deadline: 05/02/2018
Date and time07.03.2018, at: 08:00 - 25.04.2018, at: 16:00
Regular seats30
Course fee4,440.00 kr.
LecturersThomas Scheike
ECTS credits4.90
Contact personKathe Jensen    E-mail address: kje@sund.ku.dk
Enrolment Handling/Course OrganiserPhD 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 a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School). All other participants must pay the course fee.

Learning objectives
The aim of the course is to make the participants able to
- do simple survival analyses
- critically read medical papers using survival analyses techniques
- understand and interpret the outcome of survival analyses

Content
Kaplan-Meier estimation, log-rank test, stratified analysis, Poisson regression, parametric models, Cox-regression. Censoring and truncation. Competing risks. Practical implementation of the techniques through computer-labs.

Participants
PhD-students. In case of vacant seats also other medical researchers. Max. 30 participants.

Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:

All graduate programmes

Language
Danish or English.

Form
You must bring your own laptop with the relevant statistical program installed. The course will consist of lectures and computer sessions (using R) illustrating the implementation and interpretation of the various models. The exercises are constructed for the use of the primary software of the course, R, which is what we recommend, but some particpants typically use STATA or SAS that will sufficient for most of the course. The course will be passed by attending at least 80% of the course and satisfactorily responding to a take-home exam.

Course director
Professor Thomas Scheike, Section of Biostatistics.

Teachers
Members of the staff of Section of Biostatistics.

Dates
7, 14, 21 March and 4, 11, 18, 25 April 2018, all days 8-15.

Course location
CSS

Registration
Please register before February 5, 2018

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.
Applications from other participants will be considered after the last day of enrolment.

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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