BIOSTAT650 Applied Statistics I: Linear Regression
- Graduate level
- Fall term(s)
- 4 Credit Hour(s)
- Instructor(s): Banerjee, Mousumi
- Prerequisites: BIOSTAT601
- Description: Graphical methods, simple and multiple linear regression; simple, partial and multiple correlation; estimation; hypothesis testing, model building and diagnosis; introduction to nonparametric regression; introduction to smoothing methods (e.g., lowess) The course will include applications to real data.