Survival Analysis Course

Course date: 23 June 2016 - 24 June 2016
Location: Erasmus MC, COO-5

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Click here to register for this course

Basic course on Survival Statistics for MSc-students, PhD-students and MDs.

This course will be containing both lectures and practical exercises with SPSS and will be taught by Emmeke Aarts, Statistician, TNO risk analysis for products in development, Zeist

Two-day course on medical statistics for MDs, PhD students and MSc students. The first day consists of a brief introduction to basic statistical concepts and survival analysis. During day two, more advanced topics related to survival analysis will be discussed.

Aim of the course

Understanding (some of) the essentials of statistical theory, choosing the appropriate statistical test given the research question and data, performing the corresponding statistical analysis and interpreting the resulting statistical output.

Tentative program

Day 1: Thursday, 23 June, 2016: computer room C00-5

10.00 – 11.00: Introduction to basic statistics – Lecture

11.00 – 11.15: coffee break

11.15 – 12.15: Introduction to basic statistics – Practical

12.15 – 13.15: Lunch

13.15 – 14.45: Introduction to survival analysis and life tables– Lecture

14.45 – 15.00: coffee break

15.00 – 16.00: Introduction to survival analysis and life tables – Practical


Day 2: Friday, 24 June, 2016: computer room C00-5

10.00 – 11.15: Modelling survival rates: the Cox Proportional Hazards Model – Lecture

11.15 – 11.30: coffee break

11.30 – 12.30: More advanced models and extensions – Lecture

12.30 – 13.30: Lunch

13.30 – 14.45: Modelling survival rates: the Cox Proportional Hazards Model – Practical

14.45 – 15.00: coffee break

15.00 – 16.00: More advanced models and extensions – Practical

Time schedule
Two days from 10.00 - 16.00 hours

Computer room COO-5, on the third floor of the Medical Faculty building of Erasmus MC. Here you can find maps and travel directions:

For this course you will receive a certificate of attendance with 0,6 ECTS for full participation.

Registration fee
The subscription fee of non-commercial participants for this course is € 350.

Discounts are handled as follows:

  • All PhD students get a discount of 50% and pay €175.
  • All participants from the postgraduate school MolMed receive a discount of 100% and pay €0.
  • Master students from elsewhere who will need to pay the fee themselves, receive a discount of 75% and pay €87,50.


Fees can be paid upon an INVOICE. After your registration you will receive an INVOICE per postal mail. The payment can then be done per bank transfer. All the information necessary will be on the invoice, including the unique INVOICE number.

Late participants can also pay cash upon signing in for the Course.
Please note that all participants who will pay the invoice from their personal budget need to provide their personal address details when they apply for the course.



The fees are for all the days of the course. There is no discount for participating in only a part of the course. Our cancellation policy is that cancellation is possible up to one week before the start of the Course. Later cancellation will not be accepted, but you are allowed to send a substitute.

Commercial participants & sponsors

Companies are invited to inquire for participation and sponsoring


General information
Financial regulation of the Postgraduate School Molmed

From August 1st, 2012 the following financial guidelines are applied in general, but they may differ per course still, look at the course fee of each course to be sure which discounts are really applied:

Non-commercial course, symposium or workshop fee: €200/day, €750/week

• Participants of the postgraduate school MolMed: discount of 100%.
• Other Erasmus MC participants, e.g. of MGC, COEUR, NIHES: discount of 50%.
• PhD students and Master’s students, regardless of institution: discount of 50%.
• Master’s students who are paying the fee from their personal budget: discount of 75%.

There is one fee for the entire course. There is no reduction for partial participation.

The SPSS Course and the R Course have shorter course days. The SPSS Course counts as a 2-days course and the R Course as a 3-days course.

Commercial participants & sponsors: companies are invited to inquire about commercial participant tuition fees and about sponsoring.

Those who register for a course, symposium or workshop agree with these financial conditions.




Click here for details of programme
Click here to register for this course

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