Missing Data in Clinical Studies by Geert Molenberghs
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Missing Data in Clinical Studies
By Geert Molenberghs

Missing Data in Clinical Studies

By (author) See other recent books by Geert Molenberghs See other recent books by Michael G. Kenward
Format: Hardback

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Missing Data in Clinical Studies by Geert Molenberghs

Book Description

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effectively address them. The text provides a critique of conventional and simple methods before moving on to discuss more advanced approaches. The authors focus on practical and modeling concepts, providing an extensive set of case studies to illustrate the problems described. * Provides a practical guide to the analysis of clinical trials and related studies with missing data.* Examines the problems caused by missing data, enabling a complete understanding of how to overcome them.* Presents conventional, simple methods to tackle these problems, before addressing more advanced approaches, including sensitivity analysis, and the MAR missingness mechanism.* Illustrated throughout with real-life case studies and worked examples from clinical trials.* Details the use and implementation of the necessary statistical software, primarily SAS. Missing Data in Clinical Studies has been developed through a series of courses and lectures. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations. Graduate students of biostatistics will also find much of benefit.

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Book Details

ISBN: 9780470849811
ISBN-10: 0470849819
Format: Hardback
(232mm x 160mm x 33mm)
Pages: 526
Imprint: Wiley-Blackwell
Publisher: John Wiley and Sons Ltd
Publish Date: 9-Mar-2007
Country of Publication: United States

Books By Author Geert Molenberghs

Longitudinal Data Analysis by Geert Molenberghs Longitudinal Data Analysis, Hardback (July 2008)

Focuses on the assorted challenges that arise in analyzing longitudinal data. This book explores four broad themes: parametric modeling, nonparametric and semi parametric methods, joint models, and incomplete data. It is suitable for those involved in the development of statistical methodology or the analysis of longitudinal data.

» View all books by Geert Molenberghs

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