This course is designed to introduce (i) methods for statistical modeling of cross-sectional and longitudinal complex surveys data sets, with an emphasis on the impact of weighting, stratification and clustering on parameter estimates and their standard errors and (ii) variance estimation methods such as Taylor linearization, bootstrap, jackknife, and balanced repeated replication. Procedures to handle missing data in complex surveys will be discussed. Weekly hours: 3 Lecture hoursPrerequisite(s):CHEP 805 or equivalent, or with instructor approval.
This course is designed to introduce (i) methods for statistical modeling of cross-sectional and longitudinal complex surveys data sets, with an emphasis on the impact of weighting, stratification and clustering on parameter estimates and their standard errors and (ii) variance estimation methods such as Taylor linearization, bootstrap, jackknife, and balanced repeated replication. Procedures to handle missing data in complex surveys will be discussed. Weekly hours: 3 Lecture hoursPrerequisite(s):CHEP 805 or equivalent, or with instructor approval.
