Applied Statistics and Secondary Analysis for Health Data

Catalog description

This course reviews statistical methods commonly applied in nursing, medical, and public health research settings by focusing on secondary analyses of existing data. Parametric and non-parametric estimation and testing methods appropriate for univariate, bivariate, and multivariate data are covered. Data preparation techniques and statistical software options are introduced. Sources of public as well as investigator-controlled data will be considered. Students will gain hands-on experience by conducting a comprehensive statistical analysis of an existing health-related dataset.