Missing Data in Clinical Studies
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Missing Data in Clinical Studies by Geert Molenberghs
Book DescriptionMissing 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 DetailsISBN: 9780470849811
(232mm x 160mm x 33mm)
Publisher: John Wiley and Sons Ltd
Publish Date: 9-Mar-2007
Country of Publication: United States
Books By Author Geert Molenberghs
Longitudinal Data Analysis, Hardback (July 2008)» View all books by Geert Molenberghs
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.
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