Survival and Event History Analysis course (3 day course)

Monday 24 February 2020, 12:00am to 11:59pm


Postgraduate Statistics Centre, LA1 4YW - View Map

Open to

Postgraduates, Public, Staff


Free to attend - registration required

Registration Info

Registration required

Event Details

Please note: a timetable will be sent out to all participants one week before the event...

Please note: a timetable will be sent out to all participants one week before the event.

3 day course which runs from 24th - 27th February 2020 (two full days and two half days)

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.

Important please note:

We will make every attempt to accommodate Lancaster University staff and postgraduate research students on our courses. However, if a course becomes fully booked we reserve the right to give priority to students on the MSc in Statistics, MSc in Data Science, and external participants.

Payment: Once you have registered, please pay at the online shop

Accommodation Details: Can be found here.

Cancellation Policy

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.


Contact Details

Name Pavel Mozgunov

Telephone number

+44 1524 592339