Survival and Event History Analysis
Date: 27th February - 1st March 2012
Duration: 3 days (From Monday midday to Thursday midday)
Delivered by: Anne Whitehead
Registration deadline has passed.
Please contact psc@lancaster.ac.uk for more information about this course.
- External from industry/commerce - £765
- External from academic institution/public sector/charity - £660
- External postgraduate student - £450
- Lancaster University staff - £180
- Lancaster University postgraduate student - £90
- Members of Mathematics and Statistics at Lancaster University - £0
In many medical applications interest lies in times to or between events. Examples include time from diagnosis of cancer to death, or times between epileptic seizures. This course begins with a review of standard approaches to the analysis of censored survival data. Survival models and estimation procedures are reviewed, and emphasis is placed on the underlying assumptions, how these might be evaluated through diagnostic methods and how robust the primary conclusions might be to their violation. Study design is considered, in particular how to define events and censoring and how to determine a suitable sample size and duration of follow-up. The course also includes a description of models and methods for the treatment of multivariate survival data, such as repeated failures or the lifetimes of family members. Stratified models, marginal models and frailty models are discussed.
Practical work using procedures from SAS is included, as well as discussion sessions concerning the considerations of study design.
- Survival, hazard and cumulative hazard functions
- Kaplan-Meier plots
- Parametric models and likelihood construction
- Cox’s proportional hazards model and partial likelihood
- Time-dependent covariates
- Diagnostic methods
- Testing the proportional hazards assumption
- Study design and sample size determination
- Stratified models, marginal models, frailty models