NYU Steinhardt

Missing Data

  • Course Number: APSTA-GE 2013
  • Hours: 20
  • Units: 2
  • Description: Course provides students with a basic knowledge of missing data analysis, beginning with the types of missing data mechanisms (e.g., missing completely at random). We then discuss the problems with ignoring missing data & examine problems with conventional fixes. Single imputation with noise is contrasted with multiple imputation approaches. Real examples from policy research are given throughout. More advanced topics include pattern mixture models & handling data that are not missing at random
  • Old Course Number: E10.2013