In this module, students will be introduced to statistical methods for general linear regressions. Description and inference for continuous data will be discussed. Topics include analysis of variance, correlation, linear regression, interaction, variable selection, analysis of covariance and mixed effects models. Using SAS to implement these methods and case studies will be discussed. SAS lab tutorials (optional to students) will be offered along with this module. (1.5 credit units) Exclusion: EPID 822
In this module, students will be introduced to statistical methods for general linear regressions. Description and inference for continuous data will be discussed. Topics include analysis of variance, correlation, linear regression, interaction, variable selection, analysis of covariance and mixed effects models. Using SAS to implement these methods and case studies will be discussed. SAS lab tutorials (optional to students) will be offered along with this module. (1.5 credit units) Exclusion: EPID 822
