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 and objectives, 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 description and analysis (independent vs. correlated, parametric and non-parametric, measures of central tendency and dispersion), effect estimation, the use and limitations of statistical testing, and univariable and multivariable modeling. The course employs both didactic sessions and in-class discussion. 3 cr., Spring sem. Co-listed as NU709.

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