Courses Details

BIOSTAT855 Regression Models in Complex Sample Design Settings (JPSM/MPSM 895)

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Elliot, Michael
  • Not offered 2017-2018
  • Prerequisites: BIOSTAT617, BIOSTAT650, BIOSTAT651, or instructor permission
  • Description: This course examines a range of statistical regression analysis techniques for modeling survey data, and presents methods to compensate for design features for complex sample survey data. Course topics include likelihood estimation and testing; application of likelihood methods to linear and generalized linear models, including logistic, probit, generalized (multinomial) logit, Poisson, and negative binomial models; time-to-event (survival analysis) models; regression models for longitudinal data; and propensity score and Bayesian regression modeling.
  • Syllabus for BIOSTAT855