Applied Statistics for Molecular Biologists
By Tobias Straub
27.09.2016
Course registration by email to Elizabeth Schroeder-Reiter irtg1243@bio.lmu.de
Time: September 27, 2016 from 9:00-16:00
Location: Room N01.011, Biomedical Center Munich (BMC), Großhaderner Str. 9, Martinsried
Course Content:
This 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.
Some highlights:
- 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
Co-organized with IRTG 1064