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  2. EPI 515

Measurement Error and Misclassification for Epidemiologists
EPI 515

Course Information

Description

This course focuses on methods for the analysis of data when covariates are misclassified or measured with error. It will cover theory for valid estimation and inference in this setting, as well as application of the theory to current epidemiologic studies using computer software developed for this purpose. Methods for contingency tables, generalized linear models, and survival data analysis will be addressed. Topics include likelihood-based methods and regression calibration. Examples from the Nurses' Health Study and other epidemiologic studies will be used to motivate the lectures and provide compelling and realistic examples.

Students outside of HSPH must request instructor permission to enroll in this course

School Harvard Chan School
Credits 1.25
Cross Reg

Available for Harvard Cross Registration

Department Epidemiology
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Audit, Ordinal, Pass/Fail)
Course Requirements Pre-requisites: Epi 202, Epi 204. Recommended Bst 222, Bst 231, Bst 232