Boerhaave Commissie Thursday 9 September 2010
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Survival Analysis Back
Date: Monday September 27th, 2010 until Friday October 01st, 2010
Venue: Leids Universitair Medisch Centrum, geb. 1 coll. 3 en coll. 4; geb. 3, V4-56 ; LEIDEN; The Netherlands
 
ContentProgramPractical Information
Survival analysis is the study of the distribution of life times, i.e. the times from an initiating event (birth, diagnosis, start of treatment) to some terminal event (relapse, death). It is most prominently (but not only) used in the biomedical sciences. A special feature of survival data is that it takes time to observe the event of interest. As a result for a number of subjects the event is not observed, but instead we know that it has not taken place yet. This phenomenon is called censoring and it requires special statistical methods. This course considers both theoretical backgrounds and practical aspects of the analysis of lifetime data.

Included topics are:
  • Introduction to survival analysis, examples
  • Censoring
    Hazards, cumulative hazards, survival functions

  • Parametric distribution and inference

  • Life-table methods

  • Nonparametric estimation, Nelson-Aalen, Kaplan-Meier

  • Alternative observation schemes, left truncation, interval censoring

  • Regression methods
    • Poisson regression

    • Cox proportional hazards
      • Time-dependent covariates and effects
      • Stratified Cox model
      • Predicted survival for specific covariates
    • Checking model assumptions, goodness-of-fit
  • Competing risks, multi-state models
All statistical methods are practiced, using SPSS.

Coordinator
Dr. Hein Putter, Department of Medical Statistics and Bio-informatics, LUMC

Lecturers
Dr. Marta Fiocco, Dr. Hein Putter

Requirements
Basic knowledge of statistics (e.g. the Boerhaave course Basic methods and reasoning in Biostatistics) and of regression models (e.g. the Boerhaave course Basic methods and reasoning in Biostatistics).

Intended audience
Master and PhD students in the bio-medical sciences

Teaching environment
Lectures, self-study assignments and practical sessions with SPSS and R

Exams
None (to obtain a proof of participation, lectures should have been attended and special practical exercises should have been submitted)

Course material
Slides of the lectures

Language
The course material is in English, lectures will also be given in English. Individual contact may be in Dutch.

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