Statistical Rigor and Data Analysis

1.0 credits

This course aims to provide incoming graduate students with a practical understanding of the statistical methods most commonly needed in cell physiology and pharmacology. Over the first nine days, we will cover simple descriptive statistics, hypothesis testing for two sample experiments, testing for multiple samples, non-parametric statistics, correlations, image analysis, principle component analysis and, finally, selected topics of interest. On the final day, we will evaluate specific publications for appropriate statistics and experimental design. This broad survey will equip students with essential training in statistical rigor and methodology while furnishing resources relevant for the majority of their work. Ultimately, the workshop’s core concepts will act as a framework within which students can grow and specialize as their careers progress and needs evolve.