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Clinical trials with missing data : a guide for practitioners /

"This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluab...

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Bibliographic Details
Main Authors: O'Kelly, Michael (Author)
Group Author: Ratitch, Bohdana
Published: John Wiley & Sons Inc.,
Publisher Address: Chichester, West Sussex :
Publication Dates: 2014.
Literature type: eBook
Language: English
Series: Statistics in practice
Subjects:
Clinical Trials as Topic.
Bias (Epidemiology)
Models, Statistical.
Research Design.
Clinical trials.
HEALTH & FITNESS / Holism
HEALTH & FITNESS / Reference
MEDICAL / Alternative Medicine
MEDICAL / Atlases
MEDICAL / Essays
MEDICAL / Family & General Practice
MEDICAL / Holistic Medicine
MEDICAL / Osteopathy
Klinisches Experiment.
Statistik.
Bias.
Forschungsplanung.
Electronic books.
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118762516
Summary: "This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included - the reader is given a toolbox for implementing analyses under a variety of assumptions"--Provided by publisher.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9781118762530 (ePub)
1118762533 (ePub)
9781118762509 (Adobe PDF)
1118762509 (Adobe PDF)
9781118762516 (electronic bk.)
1118762517 (electronic bk.)
1118460707 (hbk.)
9781118460702 (hbk.)
9781306473118 (MyiLibrary)
130647311X (MyiLibrary)
Index Number: R853
CLC: R969.4

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