Intensive course on experimental design and biostatistics

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Currently, the scientific literature is critical of the translatability of in vivo research results and of the reproducibility of research conducted with animals. There are certainly solutions on what should be done to improve the translatability and reproducibility of animal experiments.
Among the solutions, statistics and experimental design play a central role to reach better translatability and reproducibility, in addition to contribute to the Reduction arm of the ThreeRs. This course addresses the central question of how to design your experiments and which test to perform given your specific research questions.
This course offers lectures, exercises and discussions on these topics.

From:	04/10/2024
To:	25/10/2024
Location:	Online
Duration:	3 mornings, 4 - 11 - 25 October 2024 CEST time zone
Registration fee:	200 Euro + 22% VAT RATE when applicable Early bird registration within 20 July 2024: 180 Euro + 22% VAT RATE when applicable
Registration includes:	Participation in the scientific program Training course material Training Course Certificate In the application form the CV is mandatory. The course confirmation will be accompanied by payment details. The invoice will be issued within 10 days after the course confirmation and cannot be changed, so please make sure you have provided us with the correct information (to be checked on the Proforma Invoice). Only digital version of invoices will be sent to participants. Payment of the fee is due before course commencement. Bank fee on your side Cancellation policy: All cancellations must be made by writing (email or fax) to the secretary. Payment of the balance of the course is due, in full, for cancellation received after invoice raising. Registrants who fail to attend without advance notice are liable for the entire course fee. NUMBER OF SEATS ARE LIMITED!
Recipients:	PhD students, postdocs, researchers, lab animal scientists and technicians, and members of Animal Welfare Bodies.
Contents:	STATISTICS FOR ANIMAL EXPERIMENTS Reserch design: Confouding factors Randomization Blinding Defining outcomes and endpoints Hypothesis tests: How to select your statistical test ? One and two-sided tests Pitfalls and caveats in hypothesis testing Multiple testing and p-hacking Student t-test ANOVA THE EXPERIMENTAL DESIGN: HOW TO GENERALIZE THE RESULTS How to calculate the «right» sample size: Power calculation Calculating power using simulations Post-hoc power calculation Experimental design illustrated by practical examples: Randomized, blinded, controlled experiments Formal experimental design: Completely randomized, Randomized complete block, Factorial design, Examples, advantages and limitations Faculty: Frédéric Schütz, SIB Swiss Institute of Bioinformatics
Language:	English
Materials:	Here the flyer