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Measuring vaccine effectiveness against persistent HPV infections: a comparison of different statistical approaches Donken, R.; Hoes, J.; Knol, M. J.; Ogilvie, Gina; Dobson, S.; King, A. J.; Singer, Joel; Woestenberg, P. J.; Bogaards, J. A.; Meijer, C. J. L. M.; de Melker, H. E.
Abstract
Background: Persistent high-risk human papillomavirus (HPV) infection is endorsed by the World Health Organization as an intermediate endpoint for evaluating HPV vaccine effectiveness/efficacy. There are different approaches to estimate the vaccine effectiveness/efficacy against persistent HPV infections. Methods: We performed a systematic literature search in Pubmed to identify statistical approaches that have been used to estimate the vaccine effectiveness/efficacy against persistent HPV infections. We applied these methods to data of a longitudinal observational study to assess their performance and compare the obtained vaccine effectiveness (VE) estimates. Results: Our literature search identified four approaches: the conditional exact test for comparing two independent Poisson rates using a binomial distribution, Generalized Estimating Equations for Poisson regression, Prentice Williams and Peterson total time (PWP-TT) and Cox proportional hazards regression. These approaches differ regarding underlying assumptions and provide different effect measures. However, they provided similar effectiveness estimates against HPV16/18 and HPV31/33/45 persistent infections in a cohort of young women eligible for routine HPV vaccination (range VE 93.7–95.1% and 60.4–67.7%, respectively) and seemed robust to violations of underlying assumptions. Conclusions: As the rate of subsequent infections increased in our observational cohort, we recommend PWP-TT as the optimal approach to estimate the vaccine effectiveness against persistent HPV infections in young women. Confirmation of our findings should be undertaken by applying these methods after longer follow-up in our study, as well as in different populations.
Item Metadata
Title |
Measuring vaccine effectiveness against persistent HPV infections: a comparison of different statistical approaches
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Creator | |
Contributor | |
Publisher |
BioMed Central
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Date Issued |
2020-07-08
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Description |
Background:
Persistent high-risk human papillomavirus (HPV) infection is endorsed by the World Health Organization as an intermediate endpoint for evaluating HPV vaccine effectiveness/efficacy. There are different approaches to estimate the vaccine effectiveness/efficacy against persistent HPV infections.
Methods:
We performed a systematic literature search in Pubmed to identify statistical approaches that have been used to estimate the vaccine effectiveness/efficacy against persistent HPV infections. We applied these methods to data of a longitudinal observational study to assess their performance and compare the obtained vaccine effectiveness (VE) estimates.
Results:
Our literature search identified four approaches: the conditional exact test for comparing two independent Poisson rates using a binomial distribution, Generalized Estimating Equations for Poisson regression, Prentice Williams and Peterson total time (PWP-TT) and Cox proportional hazards regression. These approaches differ regarding underlying assumptions and provide different effect measures. However, they provided similar effectiveness estimates against HPV16/18 and HPV31/33/45 persistent infections in a cohort of young women eligible for routine HPV vaccination (range VE 93.7–95.1% and 60.4–67.7%, respectively) and seemed robust to violations of underlying assumptions.
Conclusions:
As the rate of subsequent infections increased in our observational cohort, we recommend PWP-TT as the optimal approach to estimate the vaccine effectiveness against persistent HPV infections in young women. Confirmation of our findings should be undertaken by applying these methods after longer follow-up in our study, as well as in different populations.
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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2020-07-13
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0392353
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URI | |
Affiliation | |
Citation |
BMC Infectious Diseases. 2020 Jul 08;20(1):482
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Publisher DOI |
10.1186/s12879-020-05083-7
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
The Author(s)
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Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)