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Statistics in clinical and observati...

Nauta, Jozef.

Statistics in clinical and observational vaccine studies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics in clinical and observational vaccine studiesby Jozef Nauta.
Author:	Nauta, Jozef.
Published:	Cham :Springer International Publishing :2020.
Description:	xxii, 234 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	VaccinesStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-030-37693-2
ISBN:	9783030376932$q(electronic bk.)

Statistics in clinical and observational vaccine studies
Nauta, Jozef.

Statistics in clinical and observational vaccine studies[electronic resource] /by Jozef Nauta. - Second edition. - Cham :Springer International Publishing :2020. - xxii, 234 p. :ill., digital ;24 cm. - Springer series in pharmaceutical statistics,2366-8695. - Springer series in pharmaceutical statistics..

1.The Interplay Between Microorganisms and the Immune System -- 2. Analysis of Immunogenicity Data -- 3. Vaccine Field Studies -- 4. Correlates of Protection -- 5. Analysis of Vaccine Safety Data.

This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. 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 analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.

ISBN: 9783030376932$q(electronic bk.)

Standard No.: 10.1007/978-3-030-37693-2doiSubjects--Topical Terms:

485948
Vaccines
--Statistical methods.

LC Class. No.: QR189 / .N388 2020

Dewey Class. No.: 615.372

Statistics in clinical and observational vaccine studies
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505 0 $a 1.The Interplay Between Microorganisms and the Immune System -- 2. Analysis of Immunogenicity Data -- 3. Vaccine Field Studies -- 4. Correlates of Protection -- 5. Analysis of Vaccine Safety Data.
520 $a This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. 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 analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.
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