Statistics in clinical vaccine trials

This monograph offers well-founded training and expertise on the statistical analysis of data from clinical vaccine trials, i.e., immunogenicity and vaccine field efficacy studies. The book's scope is practical rather than theoretical. It opens with two introductory chapters on the immunology o...

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Auteur principal: Nauta, Jozef, 19..-
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2011.
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Description d'après consultation du 22 avril 2013
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Statistics in clinical vaccine trials, Jozef Nauta, Heidelberg [etc.], Springer, 2011, 1 vol. (XVIII-153 pages), 978-3-642-14690-9
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245 1 0 |a Statistics in clinical vaccine trials   |c by Jozef Nauta. 
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505 1 |a Basic Concepts of Vaccine Immunology Humoral and Cellular Immunity Standard Statistical Methods for the Analysis of Immunogenicity Data Antibody Titres and Two Types of Bias Adjusting for Imbalance in Pre-vaccination State Vaccine Equivalence and Non-Inferiority Immunogenicity Trials Vaccine Field Efficacy Trials Correlates of Protection Safety of Vaccines Appendices: SAS and Floating Point Format for Calculated Variables Closed-Form Solutions for the Constrained ML Estimators Ro Simulation Results on Jewell s Correction for the Rate Ratio Proof of Inequality A Generalized Worst-Case Sensitivity Analysis for a Single Seroresponse Rate for Which the Confidence Interval Must Fall Above a Pre-Specified Bound 
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520 |a This monograph offers well-founded training and expertise on the statistical analysis of data from clinical vaccine trials, i.e., immunogenicity and vaccine field efficacy studies. The book's scope is practical rather than theoretical. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the statistical methodology. Many real-life examples and SAS codes are presented, making application of the methods straightforward. Topics discussed include maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of equivalence and non-inferiority immunogenicity trial data, analysis of data from vaccine field efficacy trials (including data from studies with recurrent infection data), fitting protection curves to data of challenge or field efficacy studies, and the analysis of vaccine safety data 
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