Missing data in clinical studies /

Missing data in clinical studies /

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Bibliographic Details
Author / Creator:	Molenberghs, Geert.
Imprint:	Chichester ; Hoboken, NJ : Wiley, c2007.
Description:	xx, 504 p. : ill. ; 24 cm.
Language:	English
Series:	Statistics in practice Statistics in practice.
Subject:	Statistics as Topic -- methods. Clinical Trials as Topic. Data Interpretation, Statistical. Research Design. Clinical trials -- Statistical methods. Missing observations (Statistics) Observations manquantes (Statistique) Études cliniques -- Méthodologie. Médecine -- Recherche -- Méthodes statistiques. Medizinische Statistik. Fehlende Daten. Klinisches Experiment. Clinical trials -- Statistical methods. Missing observations (Statistics) Statistik.
Format:	E-Resource Print Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/7902830

Hidden Bibliographic Details
Other authors / contributors:	Kenward, Michael G., 1956-
ISBN:	9780470849811 (alk. paper) 0470849819 (alk. paper)
Notes:	Includes bibliographical references (p. 483-496) and index.
Summary:	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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Call Number:	R853.C55 M65 2007
c.1	Available Loan period: standard loan Scan and Deliver Request for Pickup Need help? - Ask a Librarian