Multivariate Regression

This course introduces the basic concepts and steps associated with multivariable statistical modeling. It integrates methods with performing the steps using data analysis tools such as Stata. Presents use of generalized linear models for quantitative analysis of data encountered in public health and medicine. Specific models include analysis of variance, analysis of covariance, multiple linear regression, logistic regression, and Cox regression. Applied linear regression involving hands-on data analysis will be emphasized. Students enrolling for this course should have taken at least one other graduate level statistics course and should be conversant with the basic fundamentals of statistical testing and estimation.