Subject: Community Hlth and Epidemiolog
Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours
College: Graduate and Postdoc Studies
Department: Community Hlth and Epidemiol

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.

Prerequisite(s):CHEP 805 or equivalent, or with instructor approval.

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