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

Activity no.: 3300-22-00-00There are no available seats 
Enrollment deadline: 24/01/2022
Date and time24.02.2022, at: 08:00 - 28.04.2022, at: 12:00
Regular seats25
Course fee4,920.00 kr.
LecturersFrank Eriksson
ECTS credits4.90
Contact personSusanne Kragskov Laupstad    E-mail address: skl@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), and for PhD students at graduate schools in the other Nordic countries. 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 analysis techniques

- understand and interpret the outcome of survival analyses


Content

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


Participants

PhD-students. In case of vacant seats also other medical researchers. Max. 25 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

The course consists of lectures and computer sessions (bring your own laptop) illustrating the implementation and interpretation, as well as self-study preparation and weekly mandatory home assignments (quizzes) in Absalon (UCPH's teaching platform) supported by discussion threads. The exercises are based on the statistical software R.

The course requires active homework and preparation, and will be passed by answering at least 80% of the online home assignments and satisfactorily responding to a take-home exam.


Course director

Associate professor Frank Eriksson, Section of Biostatistics.


Teachers

Members of the staff at Section of Biostatistics.


Dates

Thursdays 24 February, 3, 10, 17, 24, 31 March, 7 April 2022,

All days 8-12.

Online exercises between these dates.

Take-home exam hand in deadline 28 April 2022.


Course location

CSS


Registration

Please register before 24 January 2022


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 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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