Objectives of the training course
- A better understanding of TKTD models, especially GUTS models for survival data.
- An overview of ready-to-use and user-friendly tools to use GUTS models in practice from real case-studies.
12-13th of december 2022
Please note that you have until 5 before the course to register.
The course is intended for PhD students, researchers, and scientists in ecotoxicology and
No prerequisites for this course.
Training course content
As recently emphasised by EFSA, toxicokinetictoxicodynamic (TKTD) models are of particular interest for regulatory risk assessment of pesticides for aquatic organisms. TKTD models can encompass a large set of mechanisms describing the compound kinetics inside organisms as well as their effect at the individual level. Compared to classical dose-response models, TKTD approaches have many advantages: Accounting for temporal aspects of exposure and toxicity, considering data points all along the experiments and not only at the end, and making predictions for untested situations such as realistic field exposure scenarios (e.g., time-variable pulsed exposure profiles).
The General Unified Threshold model of Survival (GUTS) is within the most recent and innovative TKTD framework to deal with survival toxicity test data but is still underused in practice due to specialist programming and statistical skills that are necessary to run models in practice. This training course aims at presenting the theory of GUTS models and at introducing the participants with dedicated tools allowing the practical use of GUTS models.
Sandrine Charles | University Lyon 1
Virgile Baudrot | INRAE
Harry Byers | ANSES
Benoît Goussen | IBACON GmbH
Aude RATIER | University Lyon 1
– Student Ticket : 400€
– Academic Ticket : 550€
– Non-Academic Ticket : 650€
Réduction : 15 % de réduction pour les membres du réseau ECOTOQ
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- Important : If you have a disability, do not hesitate to let us know before the training
- The first part of this course will take place with the presentation of TKTD model, then introduction to Bayesian inference and to the MOSAIC plateform.
- The second part of the course will be practical exercises
- Questions will be welcome during all this course, and you will have the opportunity to ask questions in English and French.
- At the end of the course, the trainer will suggest that you go back over the notions that were not clear, while making sure that most of the elements have been acquired.
- A survey will be sent to you by email at the end of the training session, in order to collect your impressions, comments and suggestions for improvement. Your answers will be strictly anonymous.
For questions about training or registration, please contact Damien Baudiffier, Scientific Program Officer at the evertéa Foundation : firstname.lastname@example.org