Applied Statistics for Molecular Biologists by Tobias Straub
Due to the corona-related restrictions, this course will be given in an online format: 4 x 2 hour webinars over the course of a two week period (April 12-13, 2021).
Monday, April 12
Thursday, April 15
Monday, April 19
Thursday, April 22
The course is directed toward those molecular biology researchers that are interested in getting an introduction in statistical handling of quantitative data. Focus will be both the creation as well as the interpretation of statistical data. Various interactive showcase exercises will be provided to cover e.g. qPCR, quantitative imaging, and treatment-response cases.
Mathematical knowledge is not required; the course will be formula-free.
- Types of Quantitative Data in Molecular Biology Descriptive Statistics, Reporting and Visualizing Quantitative Data, Population Space, Statistical Inference, Induction, Error Bars
- Statistical Tests, Test Theory, P-Values, Generation and Interpretation, Common Statistical Tests, Multiple Testing, Reporting Statistical Tests
- Statistics Software, ANOVA, Time series, Correlation Analyses, High-level Analyses Overview
- Experimental Design, How to improve experimental layout to get 'better' Statistics, Random/Systematic Errors, Noise, Power Estimation
Register by email with Elizabeth Schroeder-Reiter firstname.lastname@example.org