Intensive course on experimental design and biostatistics - Further details coming soon

Registration is now closed

 

 

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:

29/09/2023

To:

13/10/2023

Language: English
Teaching method:

Online course
Location:

Online

Duration: 3 mornings, 29 September, 6 October, and 13 October 2023
Teaching hours:
  • 29 September 2023, from 09.00 to 12.15 am CEST time zone
  • 6 October 2023, from 09.00 to 12.15 am CEST time zone
  • 13 October 2023, from 09.00 to 12.15 am CEST time zone
CPD Credits:

Course accreditated in Flanders by BCLAS, for more info please go to: https://www.bclas.org/continuing-education/

Approved by the Royal Society of Biology for purposes of CPD, this event may be counted as 21 CPD credits
Target audience:

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
Number of participants:

Maximum 30
 
Registration fee:

200 Euro + 22% VAT RATE when applicable
Early bird registration within 20 July 2023, 2023: 180 Euro + 22% VAT RATE when applicable
Contact:

For further information please contact secretary@fondazioneguidobernardini.org  
Flyer: Here the flyer

 



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