330.829.11
SS/R: Missing Data Procedures for Psychosocial Research

Discontinued

Location
East Baltimore
Term
Summer Institute
Department
Mental Health
Credit(s)
2
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
M, Tu, 8:30am - 4:30pm
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Elizabeth Stuart
Frequency Schedule
Every Other Year
Prerequisite

Familiarity with linear and logistic regression models.

Description
Since analyses that use just the individuals for whom data is observed can lead to bias and misleading results, students discuss types of missing data, and its implications on analyses. Covers solutions for dealing with both types of missing data. These solutions include weighting approaches for unit non-response and imputation approaches for item non-response. Emphasizes practical implementation of the proposed strategies, including discussion of software to implement imputation approaches. Focuses on recently developed software to implement multiple imputation, such as IVEware for SAS and ICE for Stata. Examples come from school-based prevention research as well as drug abuse and dependence.
Instructor Consent
No consent required
Special Comments

Course attendees are not expected to have extensive background in statistical methods.