• Start date:
  • 8 November 2021
  • Duration:
  • 5 days
  • Working as:

Introduction
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). This type of data analysis 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 it is known that it has not taken place yet. This phenomenon is called censoring and it requires special statistical methods.

During the course different types of censored data will be introduced and techniques for estimating the survival function by employing non-parametric methods will be illustrated. Multiplicative hazards regression models, testing and inference techniques will be studied in great details. Special aspects as time-dependent covariates effects, stratification, time and prediction will be introduced. Techniques to be used to assess the validity of the hazard regression model will be discussed. Alternative to Cox model will be illustrated and predictive models will be introduced. The last part of the course focus on more advanced models like competing risks and multi-states.

A competing risks model is concerned with failure time data where each subject may experience one of the K different type of terminal events. Multi-states are employed when some intermediate events may occur before the final event of interest and one is interested in the effects of the occurrence of those intermediate events on the final events. Also for these more complex models estimation and prediction techniques will be discussed. The course ends with a discussion about sample size calculations.

Practicals
Participants are requested to use their own workspace / laptop for following this course. SPSS, R or Stata software is required, for the practical assignments. For external particants, not based at LUMC, a room will be made available.

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 'Regression Analysis')

Teaching environment
Morning lectures, video’s, self-study assignments and daily plenary discussions with the teacher.

Proof of participation / exam / ECTS
In order to obtain a proof of participation, all lectures should be attended. A practical assignment/exam must be submitted at the end of the course for those who need ECTS. 
This course is  1,5 ECTS.

Course material
All study materials are supplied electronically only, and will be made available about 1 week prior to the course. 

Target group
Master and PhD students in the bio-medical sciences

Organizing committee

  • Prof. dr. Marta Fiocco, Mathematical Institute Leiden University and Biomedical Data Science Medical Statistical Section (m.fiocco@lumc.nl)

MONDAY 8 NOVEMBER 2021

08:30 Registration
09:00 Introduction to survival analysis, examples
09:30 Lectures
10:45 Coffee break
11:15 Lectures
12:30 Lunch
13:30 Practical exercises (self-study)
15:30 Plenary discussion of practical exercises
16:30 End of course - day 1


TUESDAY 9 NOVEMBER 2021

08:45 Registration
09:00 Lectures
10:30 Coffee break
11:00 Lectures
12:30 Lunch
13:30 Practical exercises (self-study)
15:30 Plenary discussion of practical exercises
16:30 End of course - day 2


WEDNESDAY 10 NOVEMBER 2021

08:45 Registration
09:00 Lectures
10:30 Coffee break
11:00 Lectures
12:30 Lunch
13:30 Practical exercises (self-study)
15:30 Plenary discussion of practical exercises
16:30 End of course - day 3

THURSDAY 11 NOVEMBER 2021

08:45 Registration
09:00 Lectures
10:45 Coffee break
11:15 Lectures
12:30 Lunch
13:30 Practical exercises (self-study)
15:30 Plenary discussion of practical exercises
16:30 End of course - day 4


FRIDAY 12 NOVEMBER 2021

08:45 Registration
09:00 Lectures
10:45 Coffee break
11:15 Lectures
12:30 Lunch
13:30 Practical exercises (self-study)
15:30 Plenary discussion of practical exercises
16:30 End of course - day 5
Prof. dr. M. Fiocco
Leids Universitair Medisch Centrum (LUMC)
Albinusdreef 2, 2333 ZA Leiden

Price

Regular participation fee - employees / students outside LUMC     € 950,00
Discounted participation fee -  LUMC employees * € 150,00
Students Leiden University **  Free of charge

* Participation fee is also applicable for PhD students employed by LUMC.
** Participation is free of charge for bachelor or master students from the Leiden University.

  • When signing up as a student, please register with your student email address and submit your student number. Please be informed that we can ask you to e-mail us a scan of your student pass.
  • Please note that a fee will be charged to students who do not attend courses or who are too late cancelling their participation in the course.