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Design and Analysis of Non-Inferiority Trials (Paperback) Loot Price: R1,446
Discovery Miles 14 460
Design and Analysis of Non-Inferiority Trials (Paperback): Mark D. Rothmann, Brian L. Wiens, Ivan S. F Chan

Design and Analysis of Non-Inferiority Trials (Paperback)

Mark D. Rothmann, Brian L. Wiens, Ivan S. F Chan

Series: Chapman & Hall/CRC Biostatistics Series

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Loot Price R1,446 Discovery Miles 14 460 | Repayment Terms: R136 pm x 12*

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The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. Using examples from real clinical trials, Design and Analysis of Non-Inferiority Trials brings together this body of research and confronts the issues involved in the design of a non-inferiority trial. Each chapter begins with a non-technical introduction, making the text easily understood by those without prior knowledge of this type of trial. Topics covered include: A variety of issues of non-inferiority trials, including multiple comparisons, missing data, analysis population, the use of safety margins, the internal consistency of non-inferiority inference, the use of surrogate endpoints, trial monitoring, and equivalence trials Specific issues and analysis methods when the data are binary, continuous, and time-to-event The history of non-inferiority trials and the design and conduct considerations for a non-inferiority trial The strength of evidence of an efficacy finding and how to evaluate the effect size of an active control therapy A comprehensive discussion on the purpose and issues involved with non-inferiority trials, Design and Analysis of Non-inferiority Trials will assist current and future scientists and statisticians on the optimal design of non-inferiority trials and in assessing the quality of non-inferiority comparisons done in practice.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Biostatistics Series
Release date: June 2020
First published: 2011
Authors: Mark D. Rothmann • Brian L. Wiens • Ivan S. F Chan
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 454
ISBN-13: 978-0-367-57691-2
Categories: Books > Science & Mathematics > Biology, life sciences > General
LSN: 0-367-57691-0
Barcode: 9780367576912

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