Applied Analytic Methods for Population Health Sciences I

Catalog description

This is an introductory course in statistical analysis and inference methods useful for Population Health Sciences. Topics include descriptive statistics, analysis of contingency tables, one- and two-way analysis of variance, simple linear regression, measures of uncertainty, and hypothesis testing. Both parametric and nonparametric techniques are explored. Core concepts are taught through team-based case studies and analysis of research datasets taken from the population health sciences literature and demonstrated in concert with Population Health Sciences 703. Computational exercises will primarily use the SAS Statistical Computing Platform.