Courses Details

EPID702: Analysis With Missing Data In Epidemiology

  • Graduate level
  • Residential
  • Summer term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): Wang, Lu (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: Required: introduction to statistical inferences, such as likelihood estimations, and regression models; Recommended: correlated and longitudinal data analysis
  • Undergraduates are allowed to enroll in this course.
  • Description: This course discusses both statistical theory and methodology aimed at addressing ongitudinal studies, drop-out, selection model, and pattern-mixture model. Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.
  • Learning Objectives: Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.