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Applied Statistics in Life Sciences

by Dr. Tobias Straub

20.09.2021 – 24.09.2021

When:

  • Monday, Sep 20th 10 am -12 pm
  • Tuesday, Sep 21st - 10 am - 12 pm
  • Thursday, Sep 23rd - 10 am - 12 pm
  • Friday, Sep 24th - 10 am - 12 pm

Location:
Online

Details:
This course is directed towards researchers interested in getting an introduction in statistical handling of quantitative data in experimental life science. Focus will be both in the creation as well as the interpretation of statistical results. Showcase excercises will be provided to cover e.g. qPCR treatment response cases and other common experimental setups.
Mathematical knowledge is not required, the course will be formula-free.

Key topics covered:

  • Types of Quantitative Data
  • Descriptive Statistics
  • Reporting and Visualizing Quantitative Data
  • Population Sample relationship, Statistical Inference, Induction
  • Error Bars
  • Test Theory
  • P-Values, Generation and Interpretation
  • Common Statistical Tests
  • Multiple Testing
  • Reporting Statistical Test Results
  • Experimental Design
  • Open Science and Good Scientific Practice