Courses Details

BIOSTAT880 Statistical Analysis With Missing Data

  • Graduate level
  • Winter term(s)
  • 3 Credit Hour(s)
  • Instructor(s):
  • Not offered 2018-2019
  • Prerequisites: Biostat 602 and 651, and at least one of Biostat 690, Biostat 851, Biostat 890, or Biostat 895 or Perm Inst.
  • Description: Statistical analysis of data sets with missing values. Pros and cons of standard methods such as complete-case analysis, imputation. Likelihood-based inference for common statistical problems, including regression, repeated-measures analysis, and contingency table analysis. Stochastic censoring models for nonrandom nonresponse. Computational tools include the EM algorithm, the Gibbs' sampler, and multiple imputation.
  • Syllabus for BIOSTAT880