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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection
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| Zeitschriftentitel: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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| Personen und Körperschaften: | , , , , |
| In: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366, 2008, 1874, S. 2347-2360 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
The Royal Society
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| Schlagwörter: |
| author_facet |
Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David |
|---|---|
| author |
Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David |
| spellingShingle |
Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection General Physics and Astronomy General Engineering General Mathematics |
| author_sort |
valim, clarissa |
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Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David 1364-503X 1471-2962 The Royal Society General Physics and Astronomy General Engineering General Mathematics http://dx.doi.org/10.1098/rsta.2008.0044 <jats:p>Vaccine efficacy (VE) is commonly estimated through proportional hazards modelling of the time to first infection or disease, even when the event of interest can recur. These methods can result in biased estimates when VE is heterogeneous across levels of exposure and susceptibility in subjects. These two factors are important sources of unmeasured heterogeneity, since they vary within and across areas, and often cannot be individually quantified. We propose an estimator of VE per exposure that accounts for heterogeneous susceptibility and exposure for a repeated measures study with binary recurrent outcomes. The estimator requires only information about the probability distribution of environmental exposures. Through simulation studies, we compare the properties of this estimator with proportional hazards estimation under the heterogeneity of exposure. The methods are applied to a reanalysis of a malaria vaccine trial in Brazil.</jats:p> Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
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General Physics and Astronomy General Engineering General Mathematics |
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<jats:p>Vaccine efficacy (VE) is commonly estimated through proportional hazards modelling of the time to first infection or disease, even when the event of interest can recur. These methods can result in biased estimates when VE is heterogeneous across levels of exposure and susceptibility in subjects. These two factors are important sources of unmeasured heterogeneity, since they vary within and across areas, and often cannot be individually quantified. We propose an estimator of VE per exposure that accounts for heterogeneous susceptibility and exposure for a repeated measures study with binary recurrent outcomes. The estimator requires only information about the probability distribution of environmental exposures. Through simulation studies, we compare the properties of this estimator with proportional hazards estimation under the heterogeneity of exposure. The methods are applied to a reanalysis of a malaria vaccine trial in Brazil.</jats:p> |
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| author | Valim, Clarissa, Mezzetti, Maura, Maguire, James, Urdaneta, Margarita, Wypij, David |
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| description | <jats:p>Vaccine efficacy (VE) is commonly estimated through proportional hazards modelling of the time to first infection or disease, even when the event of interest can recur. These methods can result in biased estimates when VE is heterogeneous across levels of exposure and susceptibility in subjects. These two factors are important sources of unmeasured heterogeneity, since they vary within and across areas, and often cannot be individually quantified. We propose an estimator of VE per exposure that accounts for heterogeneous susceptibility and exposure for a repeated measures study with binary recurrent outcomes. The estimator requires only information about the probability distribution of environmental exposures. Through simulation studies, we compare the properties of this estimator with proportional hazards estimation under the heterogeneity of exposure. The methods are applied to a reanalysis of a malaria vaccine trial in Brazil.</jats:p> |
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| spelling | Valim, Clarissa Mezzetti, Maura Maguire, James Urdaneta, Margarita Wypij, David 1364-503X 1471-2962 The Royal Society General Physics and Astronomy General Engineering General Mathematics http://dx.doi.org/10.1098/rsta.2008.0044 <jats:p>Vaccine efficacy (VE) is commonly estimated through proportional hazards modelling of the time to first infection or disease, even when the event of interest can recur. These methods can result in biased estimates when VE is heterogeneous across levels of exposure and susceptibility in subjects. These two factors are important sources of unmeasured heterogeneity, since they vary within and across areas, and often cannot be individually quantified. We propose an estimator of VE per exposure that accounts for heterogeneous susceptibility and exposure for a repeated measures study with binary recurrent outcomes. The estimator requires only information about the probability distribution of environmental exposures. Through simulation studies, we compare the properties of this estimator with proportional hazards estimation under the heterogeneity of exposure. The methods are applied to a reanalysis of a malaria vaccine trial in Brazil.</jats:p> Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
| spellingShingle | Valim, Clarissa, Mezzetti, Maura, Maguire, James, Urdaneta, Margarita, Wypij, David, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection, General Physics and Astronomy, General Engineering, General Mathematics |
| title | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_full | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_fullStr | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_full_unstemmed | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_short | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_sort | estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| title_unstemmed | Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection |
| topic | General Physics and Astronomy, General Engineering, General Mathematics |
| url | http://dx.doi.org/10.1098/rsta.2008.0044 |