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Statistics in Clinical Vaccine Trials - Jozef Nauta
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Jozef Nauta:

Statistics in Clinical Vaccine Trials - livro usado

ISBN: 9783642146909

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Nauta, Jozef:

Statistics in Clinical Vaccine Trials - encadernada, livro de bolso

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… mais…

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Nauta, Jozef:
Statistics in Clinical Vaccine Trials - livro usado

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,… mais…

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Nauta, Jozef:
Statistics in Clinical Vaccine Trials 2011 - livro usado

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… mais…

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Nauta Jozef:
Statistics in Clinical Vaccine Trials - encadernada, livro de bolso

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… mais…

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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 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.

Dados detalhados do livro - Statistics in Clinical Vaccine Trials


EAN (ISBN-13): 9783642146909
ISBN (ISBN-10): 3642146902
Livro de capa dura
Ano de publicação: 2010
Editor/Editora: Springer Verlag
153 Páginas
Peso: 0,413 kg
Língua: eng/Englisch

Livro na base de dados desde 2009-01-26T20:11:03-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-06-09T22:40:48-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642146909

Número ISBN - Ortografia alternativa:
3-642-14690-2, 978-3-642-14690-9
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: nauta, jos
Título do livro: statistics, clinical trials, nauta, vaccine


Dados da editora

Autor: Jozef Nauta
Título: Statistics in Clinical Vaccine Trials
Editora: Springer; Springer Berlin
153 Páginas
Ano de publicação: 2010-10-24
Berlin; Heidelberg; DE
Impresso / Feito em
Peso: 0,930 kg
Língua: Inglês
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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