Biostatistics for Plant Biologists

31 October - 1st November 2022

Prof. Ludwig A. Hothorn, Department of Biostatistics, University of Hannover, Germany (retired) Michael Hothorn, Associate Professor, UNIGE Debora Zoia, CUSO MPS coordinator, UNIL

Prof. Ludwig A. Hothorn, Department of Biostatistics, University of Hannover, Germany (retired)

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 (mixedeffect model), estimation of the required sample sizes: experimental containing technicalreplicates (mixed effect model), estimation of the required sample sizes: experimentaldesign, 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).

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