Skip Navigation

Course Catalog


Department: Biostatistics
Term: 2nd term
Credits: 4 credits
Contact: Qian-Li Xue
Academic Year: 2013 - 2014
Course Instructors:

Presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Draws examples from the social sciences, including the status attainment approach to intergenerational mobility, behavior genetics models of disease and environment, consumer satisfaction, functional impairment and disability, and quality of life.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
design path analysis models
analyze latent variable panel data with linear structural equation models
design latent class analysis models in the situation of categorical data
describe causal inference techniques

Methods of Assessment: Student evaluation based on class participation, problem sets, and a final exam.
Location: East Baltimore
Class Times:
  • Monday 10:30 - 11:50
  • Wednesday 10:30 - 11:50
Lab Times:
  • Friday 10:00 - 10:50
  • Friday 11:00 - 11:50
Enrollment Minimum: 10
Instructor Consent: Consent required for all students

330.657 or consent of instructor

For consent, contact:

330.657 or consent of instructor

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Jointly Offered With:
Special Comments: Please register for one computer lab only, either 140.958.01 or 140.958.02.