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Clinical trials with missing data : a guide for practitioners / Michael O'Kelly, Bohdana Ratitch. [electronic resource]

By: Contributor(s): Material type: TextTextSeries: Statistics in practicePublisher: Chichester, West Sussex : John Wiley & Sons Inc., 2014Description: 1 online resource (473 pages) : illustrationsISBN:
  • 9781118762509 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Clinical trials with missing data : a guide for practitioners.DDC classification:
  • 610.72/4 23
LOC classification:
  • R853.C55 O34 2014
Online resources: 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.
Holdings
Item type Current library Call number Status Date due Barcode
Ebook TUS: Midlands, Main Library Athlone Online eBook (Browse shelf(Opens below)) Available

Includes bibliographical references and index.

"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.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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