The overall objective of this course is to provide students with an understanding of basic concepts of research design and data analysis in the biomedical sciences. The primary didactic areas to be covered include framing hypotheses, using experimental and non-experimental designs, and evaluating bias and confounding. Statistical analyses will be carried out weekly through in-class exercises using the SAS programming language. Data analyses to be covered include t-tests, analysis of variance, categorical analyses, non-parametric tests, high throughput analyses, and linear and logistic regression modeling. 3 cr, Either sem.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.