Bayesians statistics and JASP: Basic and Advanced

Course date: 18 December 2018 - 19 December 2018
Location: Erasmus MC, Ee-15.28

Click here for details of programme
Click here to register for this course
This course is fully booked! You can still register, but will be placed on a waiting list.



Two-day course Bayesians statistics and JASP: Basic and Advanced
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.
 
Attendance fee
The subscription fee of non-commercial participants for the Course is €200 per day
•All participants from the Postgraduate School MolMed get a discount of 100 % 
•PhD students and research master students have 50% discount 
•Research master students who pay it themselves have 75% discount
We will send you an invoice (if applicable) after attending the course.

 ECTS 
 This course is 0,3 ECTS per day
 
 
Date 
Bayesians statistics and JASP Basic
Tuesday 18 December, 2018

Bayesians statistics and JASP Advanced
Wednesday 19 December, 2018

Location
Computerroom Ee-15.28 (15th floor Medical Faculty) with 9 PC's with 2 screens each; 2 participants per PC maximum.

General information

Financial regulation of the Postgraduate School MolMed

From January 1st, 2017 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 Research Management 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

• 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.

Some courses have less course days: SPSS 3 days, Survival Analysis 2 days, Management 2 days, Presenting 1,5 days and also other may be shorter as indicated on the website.

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 for details of programme
Click here to register for this course This course is fully booked! You can still register, but will be placed on a waiting list.




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