Graduate School of health and Medical Sciences

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

Activity no.: 3300-20-00-01
	Enrollment deadline: 03/08/2020

Date and time	01.09.2020, at: 08:00 - 20.10.2020, at: 15:00
Regular seats	25
Course fee	5,280.00 kr.
Lecturers	Thomas Scheike
ECTS credits	4.90

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 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 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. 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 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 Tuesdays: 1, 8, 15, 22 29 September and 6, 20 October 2020 All days 8-15 Course location Centre for Health and Society (in Danish known as CSS - Center for Sundhed og Samfund) Registration Please register before 3 August 2020 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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