Graduate School of health and Medical Sciences

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

Activity no.: 3300-23-00-00	There are no available seats
	Enrollment deadline: 23/01/2023

Date and time	23.02.2023, at: 08:00 - 13.04.2023, at: 12:00
Regular seats	20
Course fee	6,120.00 kr.
Lecturers	Frank Eriksson
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 NorDoc member universities. 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. 20 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. The course assumes prior knowledge about basic statistics on the level achieved in the PhD course “Basic Statistics for Health Researchers'”. Course director Associate professor Frank Eriksson, Section of Biostatistics. Teachers Members of the staff at Section of Biostatistics. Dates Thursdays 23 February, 2, 9, 16, 23, 30 March, 13 April 2023, all days 8-12. Online exercises between these dates. Take-home exam hand in deadline 27 April 2023. Course CSS Registration Please register before 23 January 2023 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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