Michael Hothorn, Prof., University of Geneva
Debora Zoia, CUSO MPS Coordinator, University of Lausanne
The 2 day course module will combine lectures and hands on practical sessions, covering the following topics.
1. Introduction to biostatistics and the importance of statistical software (using R!).
2. Statistical guidelines for publishing in high-ranked journals and their implications for data collection and analysis.
3. First step of modeling: data structures in EXCEL (flat file format, unique sample ident, repeated measures, technical replicates, multiple factors) for an appropriate import into R.
4. Graphical representation of grouped biological data using boxplots (R library(toxbox)).
5. Introduction to different statistical tests using real life data sets from CUSO member groups: Two-sample tests (t, Wilcoxon, Chi2, ratio-to-control tests): p-values vs. confidence intervals (effect sizes), tests for data containing technical replicates (mixed effect model), estimation of the required sample sizes: experimental containing technical replicates (mixed effect model), estimation of the required sample sizes: experimental design, the power concept
6. Multiple comparisons: i) comparing several treatments or doses vs. control (wild type,..), ii) Benjamini Hochberg procedure for high-dimensional data.
7. Exercise I: CUSO case study: to be determined
8. Writing statistical method sections, reporting summaries and presenting graphics.
9. Exercise II: to be determined (a selected CUSO case study).
IMPORTANT! : the participants must be familiar with R.
For Mac-OS users: please check the R-libraries before the course.
Reimbursements for CUSO MPS Students:
- Train ticket, 2°class, half-fare from your institution to the place of the activity.
- NO reimbursement for your meal expenses.
NEW from 2021: Reimbursement of your travel tickets can be asked online through your MyCUSO.
See HERE for the procedure.
For any question concerning reimbursement please contact the CUSO MPS coordinator Debora Zoia.