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Duration Analysis

Date: 25th - 26th January 2012
Duration: 2 days
Delivered by: Dr Juliet Harman and Dr Andrew Titman

Registration deadline has passed.
Please contact psc@lancaster.ac.uk for more information about this course.

Cost
The course fees include all supporting documentation and refreshments.
  • External from industry/commerce - £440
  • External from an academic institution/public sector/charity - £120
  • External postgraduate student - £60
  • Lancaster University staff - £120
  • Lancaster University postgraduate student - £60
  • Members of Mathematics and Statistics at Lancaster University - £ 0
Course description

The main aim of this course is to give a solid foundation to the understanding of the statistical techniques required to make valid inferences about duration data from observational or experimental longitudinal studies. Examples of analyses from the social sciences will be used to illustrate these techniques. The emphasis will be on the practical application of these techniques using software such as R and on the interpretation of resulting output.

Topics covered
  • Basic concepts, incl. hazard and survival functions
  • Exploratory analyses, incl. Kaplan-Meier estimate of survival function
  • Semi-parametric statistical models, incl. Cox's proportional hazards
  • Fully parametric statistical models, incl. Weibull and other distributions
  • Competing risks; time-varying explanatory variables
Learning
Students will learn by applying the concepts and techniques covered in the course to data from the social sciences. Students will be encouraged to examine issues of substantive interest in these studies.
By the end of the course, successful students will:
  • be able to analyse duration data effectively, and interpret the results
  • be familiar with models for duration data
  • have increased confidence in the use of the software R
  • be able to apply relevant theoretical concepts
  • be able to identify and solve problems
  • be able to analyse data and interpret results
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.