Courses Details

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.
  • Syllabus for BIOSTAT650