Two-days Course Bayesians statistics and JASP: Basic & Advanced

Course date: 28 November 2019 - 29 November 2019
Location: Erasmus MC, Ee 15.28

Click here to register for this course

Two-days course Bayesians statistics and JASP: Basic and Advanced

The aim of this course
This two-day course is an extended version of the one-day course offered under the same name in 2016, 2017, and 2018. During the second day, more attention is paid to the theoretical roots of Bayesian statistics; more analyses are explained and practised; and additional functionalities of JASP are explained and used. 

Bayesian statistics is a branch of statistics in which evidence is expressed as a measure of uncertainty instead of frequency (i.e., p value). It allows the scientist to update initial beliefs about the true state of the world (e.g., null or alternative hypothesis) with observations, reducing uncertainty when more data is collected. Instead of only testing your data under the null hypothesis, Bayesian statistics enables the scientist to assess the probability of both the null and the alternative hypothesis. With Bayesian statistics, you can finally distinguish between absence of evidence and evidence of absence! 

JASP is a new, free, and user-friendly alternative to SPSS. It runs on Windows, Mac OS X, and Linux; it is open source; it is easy to use; and it features all conventional parametric analysis for both frequentist and Bayesian statistics. JASP is a Graphic User Interface software package build on R and depends on R packages like BAS, BayesFactor, lavaan, and metaphor. Many of JASP’s functionalities are explained in Youtube videos and GIFs; and it curates an active blog on use and development. JASP is constantly improving and to this end maintains an active forumand Feature Request & Bug Report page.

Noa van Dongen

Date, Time & Location
28 - 29 November, 2019
Ee 15.28 

Time Shedule:

9.30              Registration/ Coffee (Coffee machine on the 15th floor).
11.00            Coffee Break 
12.30-13.00  Lunch
14.30            Coffee Break
17.00            End 

Full participation is  0,6 ECTS.




Course fees 
For non-commercial participants the course fee  €350/2 days

PhD students get a 50% discount and pay €175/ 5 days. 
Participants from the postgraduate school MolMed get a 100% discount and pay €0.
Master students, get a 50% discount and pay €175/ 2 days. 
Master students who have to pay the fee from their personal budget get a 75% discount and pay €87,50/ 2 days. 

If these financial requirements should pose a problem, please contact Frank van Vliet, managing director of the Erasmus Postgraduate School Mol Med, at:

General information

Financial regulation of the Postgraduate School MolMed, from January 1st 2019, the following financial rules apply, 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%

• However, the Personal Leadership course and the workshops Photoshop/Illustrator/Indesign have to be paid from the ‘personal budget’ of employees, MolMed members and PhD students included. So they will receive an invoice from us which you have to pay and which will be reimbursed by your Department. When you will pay from your personal budget you need to provide us your home address details for the invoice. 

If there is no personal budget left, the MM-members get a discount of 100%.

• PhD students and Master’s students, regardless of institution: discount of 50%.

•The course fees of research master’s students will be paid by their master program at rate of €100/ECTS. For not I&I master students: please inform your master program in advance whether they agree to pay.

•Master’s students who are paying the fee from their private budget: discount of 75%. When you will pay from your personal budget you need to provide us your home address details for the invoice.

•However, 2 courses in statistics are paid centrally by the Dept. of Research policy for all PhD students from Erasmus MC! These are R and the SPSS course. So for Erasmus MC PhD students, these courses are always free, provided you are officially registered as a PhD student.

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

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

All invoices will be sent by email to the mail address that you filled in upon registration. If this address is not correct we use your Erasmus MC address.


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




Click here to register for this course

Click here for the other items