To see the detailed Instructor Class Description, click on the underlined instructor name following the course description. Contact instructor for information on which fields of applications emphasized. Course topics include biomedical study design, randomization, graphical data displays, control of bias, variability, confounding, interaction, and ethics of human experimentation.
Students participate in group and individual projects, group discussions, and oral presentations.
Examples in health sciences stressed. Critical interpretation of research results, and introduction to the computer for data processing and statistical analysis. Introduction to concepts and methods of descriptive and inferential statistics, with applications in specific disciplines emphasized. Topics include comparison of means and proportions, hypothesis testing, confidence intervals, nonparametric methods, linear regression and correlation. Different sections target specific student populations.