Target group
Survey statisticians, biostatisticians, epidemiologists, data analysts, and/or social scientists who design, and analyze data from, complex probability surveys
Course structure
Survey Design
- simple random sampling
- stratified random sampling
- probability proportional to size sampling
- Chromy’s minimal replacement sampling
- two-stage cluster sampling
Estimating Descriptive Statistics
- expansion (Horvitz-Thompson) estimation
- regression estimation
- ratio estimation
Analytical Uses of Survey Data
- linear regression and ANOVA
- contingency table analysis
- binary logistic regression
- domain analysis
- model assessment
