Survival and Event History Analysis
Date: 27th Feb - 2nd Mar 2017
Duration: 3.0 days (From Monday Midday to Thursday Midday)
Delivered by: Dr Andrew Titman
Registration deadline has passed.
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The course fees include all supporting documentation and refreshments.
- External from industry/commerce - £810
- External from academic institution/public sector/charity - £690
- External postgraduate student - £450
- Members of 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. Issues relating to choice of end point, censoring and the appropriate use of time dependent covariates are discussed. The course also includes a description of models and methods for the treatment of multivariate survival data, such as competing risks data, recurrent events or the lifetimes of family members. Each lecture is complemented by a practical session implementing the methods using R.
- Survival, hazard and cumulative hazard functions
- Kaplan-Meier plots
- Parametric models and likelihood construction
- Cox proportional hazards model and partial likelihood
- Time-dependent covariates
- Diagnostic methods
- Truncated and interval censored data
- Testing the proportional hazards assumption
- Competing risks, recurrent events and frailty models
Students will be able to:
Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.