SFB1032 Compact Course on Applied Statistics for Life Scientists

23.10.2023, 09:00 → 24.10.2023, 16:00 Europe/Berlin

N02.022 (BMC)

Tobias Straub (LMU)

This core course is designed to provide life science researchers with a foundational understanding of biostatistics, a crucial skill in molecular biology research. While no mathematical background is needed, by the end of the course, you will be comfortable handling and interpreting quantitative data efficiently and effectively.

Course Outline

1. Descriptive Statistics Introduction to Quantitative Data in Molecular Biology - Reporting and Visualizing Quantitative Data

2. Statistical Inference - Understanding Population Space - Error Bars

3. Statistical Testing - Understanding Test Theory - P-Values: Generation and Interpretation - Overview of Common Statistical Tests - Multiple Testing - Power Estimation - ANOVA

4. Experimental Design - Enhancing Experimental Layouts for Reliable Statistics - Distinguishing Between Random and Systematic Errors

5. Supplementary Topics - Introduction to Statistics Software - Time Series Analysis - Correlation Analyses: High-level Overview - Open Science

Showcase Examples

Throughout the course, students will be guided through showcase examples highlighting critical elements such as qPCR, quantitative imaging, and treatment-response cases. These examples aim to vividly illustrate the application of statistical concepts in real molecular biology scenarios.

AppliedStats20_SFB1032 2.pdf

Mo., 23. Oktober

09:00 → 12:00 Applied Statistics for Life Scientists Part1

13:00 → 16:00 Applied Statistics for Life Scientists Part2

Di., 24. Oktober

09:00 → 12:00 Applied Statistics for Life Scientists Part3

13:00 → 16:00 Applied Statistics for Life Scientists Part4