This course is designed for students to gain an understanding of statistical data analyses and experimental design in the field of biological sciences, including statistical analyses used in epidemiology. Practical and non-theoretical approaches to the statistical analyses of laboratory data is discussed; including experimental design, mistakes in experimental design, rigor and reproducibility and bias in scientific research. Topics and statistical tests such as hypothesis testing, T-tests, 1-Way and Multi-Way ANOVAs, post-hoc tests, correlations and regressions, non-parametric statistics, power analyses and dose-response analyses are presented with examples from several fields with an emphasis on biotechnology. Prism from GraphPad is introduced and used throughout the course, as well as SPSS. Literature from biotechnology research will be used to provide students examples of statistical analyses of real-life data.
- Teacher: Zalihe Yarkiner