Statistics play a central role in ensuring the reliability, reproducibility, and scientific value of biological research. Designed specifically for biologists, this workshop focuses on the logic and reasoning behind biostatistics rather than mathematical formalism. Through interactive discussions, practical examples, and hands-on exercises, participants will develop a deeper understanding of statistical thinking and learn how to avoid common analytical mistakes.
Topics covered include experimental design, statistical inference, hypothesis testing, p-values, statistical power, randomization, independence of observations, selection of appropriate statistical tests, parametric versus non-parametric approaches, regression and correlation analyses, ANOVA, repeated measures, and an introduction to linear and generalized linear models, including logistic regression. Particular attention will also be given to effective data visualization and the appropriate use of graphs, error bars, scatterplots, and boxplots.
The workshop concludes with a dedicated consulting session during which participants can discuss statistical questions arising from their own research projects. Students will have the opportunity to submit their questions in advance and receive tailored feedback from the instructor. This practical component helps bridge the gap between statistical theory and real-world biological research.
Registration
Registration on the CUSO MPS activity page. Do not forget to mention if your are a DSLS member when you register!
15 spots available (2 Microbio / 2 DSLS / 5 StarOmics / 6 MPS)
Reibursements
Reimbursement requests must be accompanied by the original travel tickets and receipts; otherwise, reimbursement cannot be processed.
Cancellation policy
Late cancellations (after registration deadline) and no-shows may result in cancellation fees charged by the CUSO. To avoid fees, please cancel your registration before the registration deadline by sending an email to the organizers.