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FULLY BOOKED - CombiStats™ Training Session

European Pharmacopoeia
General text/chapter
27 March 2018 to 28 March 2018

This training is now fully booked.  

Combistats Training

Venue: EDQM Premises, 7 allée Kastner, Strasbourg, France

Working language: French


Programme Overview

The CombiStats™ software has been developed at the EDQM and can perform calculations according to Chapter 5.3 of the European Pharmacopoeia (5th Edition to 9th Edition). The primary objective of this training session is to provide insights into the main functionalities proposed in the CombiStats™ software, illustrated with demonstrations of the tool. The programme will focus on the practical use of the software in a variety of situations. Each session will include examples and exercises.

The range of sessions will include:

  • An overview of classes of bio-assays and fundamental principles;
  • The general layout, selecting options and setting up templates;
  • Presentation of the different Models, Designs, Dose-response curves and Transformations;
  • Syntax, responses and interpreting input and output;
  • A closer look at advanced options and importing and exporting data.

This is a step-by-step training that is easy to understand and follow. Staff will be on-hand to answer your questions and help resolve frequently encountered problems.

Final Programme (only in French)


Optional - Exercise Workshop

at no extra cost (28 March, afternoon)

This optional Exercise Workshop is particularly addressed to participants wishing to discover more of the functionalities offered by CombiStats™ and gain more practical experience in handling data.


Who should attend

This training is only open to registered users of the software.

This training session should be attended by professionals from the pharmaceutical industry, regulatory agencies and academic institutions who are responsible for the analysis and interpretation of assay data but who have no fundamental training in statistics. Participants are expected to have some experience with biological data and basic concepts such as parallel line analysis.


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