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Activity Number: 376
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #310123
Title: Comparison of Bootstrapping Method with the Delta Method for Estimating Standard Errors of Relative Risks in the Assessment of Pneumococcal Serotype Replacement
Author(s): Abanti Sanyal*+ and Richard E Thompson and Milo A. Puhan and Eunice W. Kagucia and Daniel R. Feikin
Companies: and Johns Hopkins University and Johns Hopkins University and Johns Hopkins University and Johns Hopkins University
Keywords: boot-strapping ; delta method ; excess ratios ; pneumococcal serotypes
Abstract:

Objective: Compare standard error estimates of the log relative risk for replacement of vaccine serotypes (VT) by non-vaccine serotypes (NVT) in meningitis disease. Data: Surveillance data from 30 sites worldwide with annual serotype-specific incidence rates before and after introduction of PCV 7 vaccine were considered.

Method: Poisson regression was used to estimate the expected annual number of VT and NVT cases in the post-vaccine years from the observed incidence rates in the pre-vaccine years. Annual excess rates post-vaccine by serotype category were determined from the ratio of the observed to expected cases (per 100,000). Standard errors for these excess rates were estimated from 1000 simulated samples for each site and age category. Results from this bootstrapping method were then compared with standard errors calculated from the delta method.

Results: Standard errors for the excess rates in children under 5 were similar in the earlier post vaccine years compared to the later for both analytical methods. However, bootstrapping gave higher estimated standard errors as compared to the delta method for 18-49 year old, mainly because small number of sites in later post-v


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