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
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