BSTA 516 Design and Analysis of Surveys

Instructor(s): Eun Sul Lee, PhD and Dongseok Choi, PhD

Course Description This course is designed to introduce basic concepts, techniques, and current practice of sample survey design and analysis with emphasis on community health surveys.  Topics in design include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, multistage sampling, and replicated sampling. Examples of complex designs will be drawn from telephone surveys, the Current Population Survey and various health surveys of National Center for Health Statistics.  Topics in analysis include post-stratification adjustments, ratio and regression estimators, and methods for estimating variance from complex surveys.  To illustrate the current practice of survey analysis, selected data from National Health and Nutrition Examination Survey will be analyzed using STATA.

Credits 3

Term Offered Fall

Prerequisite BSTA 511 Estimation and Hypothesis Testing for Applied Biostatistics or equivalent or permission of instructor