Training and Events
Survival and Event History Analysis
Dr Andrew Titman
26/02/2018 - 01/03/2018
Department of Mathematics and Statistics
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Angela Mercer, Tel: 01524 593064, email@example.com
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.
Intermediate (some prior knowledge)
External from industry/commerce £810; External from academic institution/public sector/charity staff £690; External postgraduate student £450.
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