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, the use of experimental designs and, to a lesser degree, non-experimental designs, problems of differential and non- differential error (including bias and confounding), foundational principles of data analysis (e.g., independent vs. correlated data, parametric and non- parametric analyses, measures of central tendency and dispersion), effect estimation)., The class will cover basic statistical tests such as t-tests, ANOVA, non-parametric tests, the use and limitations of statistical testing, including univariable and multivariable modeling, and microarray analysis. The course employs both weekly didactic sessions and an in-class statistical analysis lab using the SAS programming language. 3 cr, Fall sem.