Multivariate survival analysis

Aim

Multivariate survival data cover survival data, where the times are not independent. For example, this can be times of several related individuals (like twins, siblings, married couples, matched pairs) or several times for the same individual, like life history data (time to occurrence of disease, time to complication, time to death) as well as times to multiple occurrences of the same event (recurrent events). We will consider a study aim of both finding the effect of covariates and evaluating the degree of dependence. The course will cover parametric as well as non-parametric models and proportional hazards
models as well as accelerated failure time models. Three different approaches to handle multivariate survival data are considered (multi-state models, frailty models and marginal models), but most time is spent on the first two approaches.

Location & Organization

Organizer

DGSB - Danish Graduate School in Biostatistics

Course Director

Niels Keiding

Location / venue

University of Copenhagen (Faculty of Health Sciences)

Timing & Workload

Duration 3 days
ECTS points 3
Frequency Every third year
 

Examination yes

Criteria

Is the course taught in English? yes
Is documentation available? (book, syllabus)? yes
Is the course open for external researchers? yes

More Information

http://www.phdbiostat.dk/biostatistik_en/kurser/