Department of Statistics


Analysis of time-to-event (survival) data

Workshop


 

Analysis of time-to-event (survival) data

Tuesday 12 to Wednesday 13 September, 2017

 

This workshop will cover data exploration, data summaries, and regression modelling for time-to-event data.  There will be both lecture and practical sessions.

 

Topics

  • Concepts: censoring, truncation, competing risks, choice of time scale
  • Summaries: the Kaplan--Meier curve; mean, median, and proportion surviving; the hazard rate; graphical exploration
  • Two-sample testing: the logrank test and its strengths and weaknesses
  • The proportional  hazards model: right censoring, left truncation,
  • Time-varying predictors
  • Modelling recurrent events

 

Participants should be familiar with linear and logistic regression, and should bring a laptop with suitable statistical software. R is preferred, but assistance may be available with Stata and SAS.

 

Schedule

  • 7.30-9am                Registration (Day 1)
  • 9-10.30am               Session 1
  • 10.30-11am             Morning tea
  • 11am-12.30pm         Session 2
  • 12.30-1.45pm          Lunch
  • 1.45-3.15pm            Session 3
  • 3.15-3.45pm            Afternoon tea
  • 3.45-5pm                Session 4
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Presenter


thomaslumley
Thomas Lumley

Thomas Lumley is Professor of Biostatistics at the University of Auckland. He has taught survival analysis at introductory and advanced levels, and has developed software implementations and new methodology. To know more about Thomas, please click here.

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Registration


Registrations are now open.

For any queries or other modes of registration payment, please email Rosemary Barraclough rk.barraclough@auckland.ac.nz

Registration includes morning tea and afternoon tea. There are a range of eating options nearby on campus for lunch.

Fee

Type

University of Auckland Staff & Students (NZD)

External (NZD)

Regular (Until 1 Sep 2017)

$300

$600

Late (Until 10 Sep 2017)

$550

$750

 

Register Now

Registration Methods

University of Auckland Staff & Students

External

Internal Journal Payment

Internal Journal  

 Not Applicable

Credit Card

Contact Rosemary

Credit Card

Invoice

Contact Rosemary

Invoice

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Venue


Accomodation

  • Please feel free to email Rosemary for information about local accommodation.

Venue

  • City Campus, University of Auckland, Auckland CBD, Auckland, New Zealand

Parking

 

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