Biostatistical Analysis / Methods

This course offers a comprehensive overview of key statistical methods used in biomedical research, including multiple comparisons, correlations, and survival analysis. Students will learn to select and apply appropriate statistical tests to analyze data and determine the impact of new methodologies. Key topics include data sampling, measures of central tendency and dispersion, hypothesis testing, regression models, non-parametric tests, and survival analysis techniques. Through eleven expert-led lectures by Prof. Dr. Esin Ozturk-Isik, participants will gain insight into the mathematical logic governing inferential statistics and the practical application of these tools in clinical settings. The course also covers the transition from summarizing simple biological distributions to complex analyses involving multiple treatment groups, categorical data rates, and the critical assessment of statistical power. By the end of the course, participants will have a clearer understanding of how to design robust experiments, avoid common pitfalls like alpha error inflation, and interpret results through both p-values and confidence intervals to distinguish between statistical significance and clinical relevance.

This course collection is offered as part of the TACTIX project in collaboration with Boğaziçi University, Amsterdam UMC and Fraunhofer MEVIS.

Target Audience: MSc and PhD students interested in analyzing clinical data for research purposes.