Statistics and Experimental Design in Contemporary Life Science Research
Biomedical research increasingly involves numerical interpretation of quantitative data. Decent knowledge of statistics is required to face the challenges of analysing own experiments and evaluating published results. Furthermore, experimental design can be improved based on statistical considerations allowing in return sustainable science. I will introduce a few key aspects of statistical analysis and experimental design which should serve as a guide for increasing competence in a crucial discipline of life science research.