SURV 702
Analysis of Complex Survey Data
The development and handling of selection and other compensatory weights for survey data analysis; the effects of stratification and clustering on survey estimation and inference; alternative variance estimation procedures for estimated survey statistics; methods and computer software that take into account the effects of complex sample designs on survey estimation and inference; and methods for handling missing data, including weighting adjustment and imputation.
Prerequisites & course information
Restriction: Permission of BSOS-Joint Program in Survey Methodology department. Additional Information: Must have completed one or more graduate courses in statistics covering techniques through OLS and logistic regression, or a course in applied sampling methods.
Sources
- Course catalogue ↗2026-2027