Graduate School of health and Medical Sciences

Statistical analysis of survival data for biostatistical/statistical
Provider: Faculty of Health and Medical Sciences

Activity no.: 3310-18-00-00
	Enrollment deadline: 07/09/2018

Date and time	08.10.2018, at: 08:00 - 08.11.2018, at: 15:00
Regular seats	12
Lecturers	Thomas Scheike
ECTS credits	5.60

Contact person	Susanne Kragskov Laupstad E-mail address: skl@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). Special rules apply for research year students enrolled at Faculty of Health and Medical Sciences at UCPH. All other participants must pay the course fee. Course title Statistical analysis of survival data for biostatistical/statistical Ph.D.-students. Learning objectives This is a course aimed for Ph.D.-students in biostatistics/statistics. The aim of the course is to make the participants able to • do practical survival analyses using R • understand the theoretical arguments behind the key methods • theoretically analyse simple extensions of survival models • understand how to deal with competing risks and multistate models. Content The course will describe advanced topics for survival data. The first 4 days gives a brief introduction and considers regression models for survival data, including Cox's regression model and alternative models like the additive intensity model. Goodness-of-fit for these models will be discussed. We will also discuss how to deal with multivariate survival data including frailty models and marginal models. The last 4 days will consider competing risks, multistate models and recurrent events. The course will consist of lectures and computer sessions (using R/SAS) illustrating how the various models can be applied with focus on the practical implementation and interpretation of the methods. The course will be passed via satisfactorily responding to a take-home exam. We expect students to bring their own laptops. Course material Lecture note copies will be provided. Textbook. Andersen, Borgan, Gill og Keiding, ”Statistical models based on counting processes”, Springer 1993 and Martinussen and Scheike, ”Dynamic regression models for survival data”, Springer 2006. Participants Biostatistical or statistical Ph.D.-students. Max. 12 participants. Language English. Form 2 blocks of 4 full days. Course director Professor Thomas Scheike, Department of Biostatistics Teachers Per Kragh Andersen, Thomas Scheike, Thomas Gerds, Christian Pipper, Frank Eriksson and Torben Martinussen. Dates 8, 9, 10, 11 October, 5, 6, 7, 8 November 2018, all days from 8-15. Course location CSS Registration: Please register before 7 September 2018. Admission to PhD 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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