Course: Statistical Methods for Sample Surveys
Presents construction of sampling frames, area sampling, methods of estimation, stratified sampling, subsampling, and sampling methods for surveys of human populations. Students use STATA or another comparable package to implement designs and analyses of survey data.
Upon successfully completing this course, students will be able to: 1) design and implement surveys with the following sampling designs: simple random, systematic, stratified, cluster and multistage; 2) estimate sample size for different sampling designs in order to estimate population level point estimates and testing null hypothesis; 3) explain and apply intraclass correlation and design-effects (DEFF) for complex surveys; 4) estimate design weights and adjust for non-response.
Statistical Methods in Public Health II or Methods in Biostatistics II
Levy PS, Lemeshow S: Sampling of Populations: Methods and Applications, 3rd edition. New York: Wiley Interscience, 1999. - Optional
Lohr SL: Sampling: Design and Analysis. Duxbury Press, 2009. - Optional
Laboratory Exercises - 60%
Final Project - 40%