Applied Statistics for Molecular Biologists
Date: Monday, 06 November - Tuesday, 07 November 2017 (2 days)
Venue: BMC, Großhaderner Str. 9, Planegg-Martinsried
Trainer: Tobias Straub
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 ineractive showcase excercises will be provided to cover e.g. qPCR, quantitative imaging, 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 Statistial Tests
- Statistics Software
- Time series
- Correlation Analyses
- High-level Analyses Overview
- Experimental Design, How to improve experimental layout to get 'better'
- Random/Systematic Errors, Noise
- Power Estimation
If you are interested in this workshop and/or would like to register for it, please send an email to Julia.Brandt@med.uni-muenchen.de by 25 September 2017.
* Please only register for the workshop if you are sure that you will be able to fully participate in the event. *