Statistical Best Practices for Biotech/Medtech Startups

A 3-hour workshop during which the key elements of the recommendations and regulations of the various government agencies (Health Canada, FDA, EMA, etc.) are presented with their concrete implications on the practices to be respected. Aimed at both management teams and scientific staff, the workshop allows stakeholders to be made aware of these issues. In itself, the workshop is sufficient to allow startups to self-assess their practices and offer them tools to improve the points they consider problematic.

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Statistical Analysis of Metagenomics Data

Metagenomic data have specific characteristics that require adapted statistical methods. Discover the most commonly used statistical tools in this field. The training begins with a reminder of hypothesis testing, associated risks, multiplicity and how to control them. Then learn what are the specificities and problems of genomic data. The training reviews classic tests for comparing groups (ANOVA, MANOVA) and their extension to tests adapted to genomic data (ANOSIM and PERMANOVA). Data visualization tools and choice of a distance metric are also discussed.

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