Courses Details

BIOSTAT651: Theory and Application of Generalized Linear Models

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Veera Baladandayuthapani, Kevin (Zhi) He, (Residential);
  • Prerequisites: BIOSTAT601 and BIOSTAT650
  • Description: Introduction to maximum likelihood estimation; exponential family; proportion, count and rate data; generalized linear models; link function; logistic and Poisson regression; estimation; inference; deviance; diagnosis. The course will include application to real data.
BaladandayuthapaniVeera
Veera Baladandayuthapani
HeKevin
Kevin (Zhi) He
Concentration Competencies that BIOSTAT651 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT MS Perform generalized linear regression model fitting and diagnosis BIOSTAT651
BIOSTAT PhD Perform generalized linear regression model fitting and diagnosis BIOSTAT651