Flexible Parametric Survival Models

Wednesday September 14, 2016, following the 2016 Nordic and Baltic Stata User Group Meeting, Professor Paul Lambert, co-author of the Stata program stpm2 and the book “Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model”, will give a one day course in flexible parametric survival models.
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Venue: Oslo Cancer Cluster Innovation Park, Norway.
Date: September 14, 2016, 09.00-16.00.
Cost: 1800 Norwegian krone (NOK), including lunch.
Registration: StataMeeting2016@kreftregisteret.no
Course page: https://www.kreftregisteret.no/FPM2016



Flexible Parametric Survival Models
Paul Lambert
University of Leicester, UK & Karolinska Institutet, Sweden


The aim of this one-day course is introduce flexible parametric survival models and to raise awareness of some of the advantages over standard models such as the Cox proportional hazards models and Poisson models. The morning will provide motivation and introduce the basic concepts with the afternoon introducing some more advanced topics.

Given the limited time there will not be computer lab sessions on the day, but some example questions will be provided to participants together with solutions and Stata code. I will give a demonstration of some of these questions to highlight some of the key features of using these models.


Target audience
The course is aimed at statisticians and epidemiologists with an interest in modelling survival data. Due to my research interests, I will present examples that use cancer registry data, but many of the methods are generalizable to other disciplines.

The primary focus of the course is on statistical methods, but a degree in statistics or mathematical statistics is not essential. Some previous knowledge of survival analysis would be useful, for example, understanding of survival/hazard functions and experience of using the Cox model. However, I will spend time on application of the methods and explanation of key concepts so that those with a less formal statistical training can gain an understanding of the methods and their interpretation.

Outline Timetable

Morning (9:00-11:30)

  • Brief review of Cox Model: Advantages / limitations
  • Brief review of Poisson Models
  • Introduction to Flexible parametric survival models (proportional hazards)
  • Extending to time-dependent effects
  • Various useful predictions
  • Example question

Lunch (11:30-12:30)

Afternoon (12:30-16:00)

  • Attained age as the time scale
  • Relative survival / excess mortality
  • Standardized survival curves
  • Restricted mean survival / loss in expectation of life
  • Example question
  • Course wrap up / summary

The day before the course the 2016 Nordic and Baltic Stata Users Group meeting will be held at Oslo Cancer Cluster Innovation Park. You will find detailed travel information on the official meeting page http://www.statanordic.com/sug2016.html.

You may also contact the meeting coordinator Bjarte Aagnes at 
StataMeeting2016@kreftregisteret.no for further information about this course.