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Statistics in Clinical Vaccine Trials - Jozef Nauta
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Statistics in Clinical Vaccine Trials - used book

ISBN: 9783642146909

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Nauta, Jozef:

Statistics in Clinical Vaccine Trials - hardcover

2020, ISBN: 3642146902

[EAN: 9783642146909], Used, very good, [PU: Springer/Sci-Tech/Trade 2020-03-17], Item is in very good condition. If supplemental codes/CDs for textbooks are required please contact us pri… More...

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Nauta, Jozef:
Statistics in Clinical Vaccine Trials - used book

2010

ISBN: 9783642146909

[PU: Springer Berlin], Neubindung, Buchschnitt leicht verkürzt, leicht schief geklebt 8305680/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2011, Banküberweisung, PayPal,… More...

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Statistics in Clinical Vaccine Trials 2011 - used book

2010, ISBN: 9783642146909

2011 Neubindung, Buchschnitt leicht verkürzt, leicht schief geklebt 8305680/12 Versandkostenfreie Lieferung Vaccines,Statistics,Clinical Trials,Vaccines,Statistics,Clinical Trials,, [PU:S… More...

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Nauta Jozef:
Statistics in Clinical Vaccine Trials - hardcover

2010, ISBN: 9783642146909

Springer Verlag, Hardcover, Auflage: 2011, 171 Seiten, Publiziert: 2010-11-02, Produktgruppe: Book, Hersteller-Nr.: 9 black & white tables, biography, 0.93 kg, Subjects, Books, Springer V… More...

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Details of the book
Statistics in Clinical Vaccine Trials
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ISBN:

9783642146909


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.

Details of the book - Statistics in Clinical Vaccine Trials


EAN (ISBN-13): 9783642146909
ISBN (ISBN-10): 3642146902
Hardcover
Publishing year: 2010
Publisher: Springer Verlag
153 Pages
Weight: 0,413 kg
Language: eng/Englisch

Book in our database since 2009-01-26T17:11:03-05:00 (New York)
Detail page last modified on 2023-06-09T21:40:48-04:00 (New York)
ISBN/EAN: 9783642146909

ISBN - alternate spelling:
3-642-14690-2, 978-3-642-14690-9
Alternate spelling and related search-keywords:
Book author: nauta, jos
Book title: statistics, clinical trials, nauta, vaccine

Information from Publisher

Author: Jozef Nauta
Title: Statistics in Clinical Vaccine Trials
Publisher: Springer; Springer Berlin
153 Pages
Publishing year: 2010-10-24
Berlin; Heidelberg; DE
Printed / Made in
Weight: 0,930 kg
Language: English
96,29 € (DE)
98,99 € (AT)
106,50 CHF (CH)
Not available, publisher indicates OP

BB; Book; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; Vaccines; Statistics; Clinical Trials; Vaccines; Statistics; Clinical Trials; B; Statistics, general; Mathematics and Statistics; BC; EA; BB

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.
- 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; - 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

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