Statistical Methods and Data analysis for Clinical Research

Catalog description

This mini-course will introduce students to the basic concepts and methods of biostatistics and how they are applied to analysis and interpretation of data in clinical research. Topics will include: Study designs: Observational studies and Clinical trials, Bias and confounding during study design and analysis phases, Hypothesis formulation and Power analysis, Data collection and management, Descriptive and Inferential statistics, Hypothesis testing: Data analysis, interpretation, and presentation, Role of Research Rigor and reproducibility. Students will learn how to use statistical software to analyze data and draw conclusions from their analyses. They will also learn how to communicate their findings to others in a clear and concise way.