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365 – Topics in Complex Survey Data Analysis

Calculating Adjusted Survival Functions for Complex Sample Survey Data and Application to Vaccination Coverage Studies with National Immunization Survey (NIS)

Sponsor: Survey Research Methods Section
Keywords: Complex Sample Survey, Adjusted Survival Functions, Inverse Probability Weighting, Cox Corrected Group, Cumulative Vaccination Coverage, Kaplan-Meier Methods

Zhen Zhao

National Center for Immunization and Respiratory Diseases

Philip J. Smith

National Center for Immunization and Respiratory Diseases

David Yankey

National Center for Immunization and Respiratory Diseases

Kennon R. Copeland

NORC at the University of Chicago

Background: In vaccination studies with complex sample survey data, non-parametric survival functions may be useful. Recent publications have proposed several methods for evaluating the adjusted survival functions for complex sample survey data have not been described.

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