BGC1: Survival and event history analysis

The universities of Stockholm, Oslo, Helsinki and Copenhagen jointly organize a Biostatistics Graduate Course Network. The universities in Newcastle and Gent also take part in this collaboration. Master- and Phd-students from the collaborating universities as well as from other universities are welcome to take part in the BGC-Network courses.

A course in Survival and event history analysis will take place at the University of Oslo 19-23 March and 7-11 May 2012. Each of the two weeks the course starts Monday at 10.30 am and ends Friday at 2.30 pm. (See below for a detailed program for the first week of the course.)

General description of the course

The course gives a broad introduction to concepts and methods in survival and event history analysis. Topics covered include: counting process models for survival and event history data; basic results for martingales and stochastic integrals; the Nelson-Aalen and Kaplan-Meier estimators; the log-rank test and other non-parametric tests; multi-state models; Cox's proportional hazard regression; additive hazards regression; parametric survival models; the frailty concept; frailty models, marginal models, and dynamic models for multivariate survival data; dynamic path analysis and comments on causality; statistical computing using R. The methods covered in the course have applications in epidemiology, clinical medicine, demography, economics, insurance, sociology, and technical reliability.

The goals for the course are:

The course gives 7.5 ECTS credits, see here for more information. (The BGC-Network cannot guarantee that these credits points are accepted by a specific masters- or PhD-program. That is up to each program to decide.)

Course literature

Aalen, Borgan & Gjessing (2008): Event History Analysis: A Process Point of View. Springer-Verlag, New York

Teachers

Lecturers at the course include Odd O. Aalen (Oslo), Ørnulf Borgan (Oslo), and Robin Henderson (Newcastle)

Schedule

The main schedule for the course is as follows:

Computing

For the practical exercises, the participants need to bring their own laptop with the statistical language R installed.


Application and prerequisites

An application to take part in the course should be sent by e-mail to Ørnulf Borgan (borgan@math.uio.no) as soon as possible and no later than 1 February, 2012, and should contain the following informaton: The number of participants at the course is limited to 25 students. In the (unlikely) case of overbooking students from the universities participating in the BGC-Network will be given priority.

As prerequisite for the BGC-Network courses a minimum of 80 ECTS credits in mathematics and statistics is suggested, including probability theory, statistical inference and the theory of linear models. Experience of programming and software such MATLAB, R, S-Plus and/or STATA is an advantage.


Practical information

The course will take place in lecture room "Alfa-Omega" at the top floor of the Kristen Nygaard's building (formerly the Informatics building) at the University of Oslo. Kristen Nygaard's building is shown on this map of (parts of) the university campus.

Information on how to get from Oslo airport to downtown Oslo and from downtown Oslo to the University of Oslo and Kristen Nygaard's building is given here.

The participants have to organize their own travel and accommodation. Information on possible accommodation in Oslo is given below.

Costs, travel and accommodation

The course is offered free of charge. But costs for student travel and accommodation are not covered by the network programme, and each student should organize his or her own travel and accommodation.

Information on possible accommodation in Oslo is given here.


Contact information: borgan@math.uio.no
08.02.2012