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Statistics in Clinical Vaccine Trials

  • Book
  • © 2011

Overview

  • First comprehensive text on the current state of the statistical methodology for clinical vaccines trials
  • Many worked-out real-life examples
  • SAS codes for the more complex examples provided
  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • , Global Statistics, Solvay Pharmaceuticals, Weesp, Netherlands

    Jozef Nauta

Bibliographic Information

  • Book Title: Statistics in Clinical Vaccine Trials

  • Authors: Jozef Nauta

  • DOI: https://doi.org/10.1007/978-3-642-14691-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2011

  • Softcover ISBN: 978-3-642-44191-2Published: 01 October 2014

  • eBook ISBN: 978-3-642-14691-6Published: 07 October 2010

  • Edition Number: 1

  • Number of Pages: XVIII, 153

  • Topics: Statistics, general

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