Leveraging immunogenicity data and logistic regression for detection of covariate effects on vaccine efficacy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00576941" target="_blank" >RIV/67985807:_____/22:00576941 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Leveraging immunogenicity data and logistic regression for detection of covariate effects on vaccine efficacy
Original language description
ZÁKLADNÍ ÚDAJE: PAGE 2022 Abstracts. Ljubljana: PAGE, 2022. [PAGE 2022: Population Approach Group Europe Meeting /30./. 28.06.2022-01.07.2022, Ljubljana]. ABSTRAKT: This work introduces a novel effort to use immune response biomarkers to help identify covariates affecting vaccine efficacy (VE). VE is defined as a proportional reduction in risk of disease for vaccinated subjects compared to control subjects and is often assessed by counting disease cases and non-cases in randomized controlled clinical trials [1]. VE can be affected by “covariates” (demographic characteristics of enrolled subjects), e.g., age or gender. Statistical significance of covariate effects on the binary clinical outcome (diseased versus non-diseased) is typically evaluated by logistic regression. In most efficacy trials, immune response post vaccination (immunogenicity) is measured in addition to the primary clinical endpoint. An immunogenicity biomarker that reliably predicts protection is a correlate of protection (CoP) [2]. It has been shown that CoP-based VE prediction is more precise than the case-count-based VE estimate [3]. Several approaches have been proposed to model the relationship between immunogenicity and probability of disease (PoD) [3-5].
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
30303 - Infectious Diseases
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů