Description
This course covers the theoretical foundations of biostatistics and the associated computational approaches of exploratory and descriptive biostatistical methods for the analysis of data in clinical research (observational and experimental). These methods are based on probability theory and include assessing the impact of chance and variability on the interpretation of research findings. Topics include probability theory, measurement theory, descriptive and exploratory analysis. Students will utilize a statistical programming language to apply theoretical topics with real world data and will get hands on practice through an exploratory data analysis project including loading and transforming data, exploratory analysis, and visualization.