Courses Details

EPID742: Generalized Linear Models

  • Graduate level
  • Residential
  • Summer term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): He, Kevin (Zhi) (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: Introductory level courses in epidemiology and biostatistics.
  • Description: Course will cover regression methods for continuous, binary, and count data. The majority of epidemiologic data involve either binary or count data, and binary data often arise from underlying continuous data. Therefore, linear , logistic ,and Poisson regression analyses are important analytic approaches that provide valuable insights into data collected.