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
Concentration Competencies that BIOSTAT650 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT MPH Perform linear regression model fitting and diagnosis BIOSTAT650
BIOSTAT MS Perform linear regression model fitting and diagnosis BIOSTAT650
BIOSTAT PhD Perform linear regression model fitting and diagnosis BIOSTAT650