Clinical Trials with Missing Data (PDF)
A Guide for Practitioners
(Sprache: Englisch)
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...
clinicians, and researchers involved in clinical trials in the
biopharmaceutical industry, medical and public health
organisations. Academics and students needing an introduction to
handling...
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Produktinformationen zu „Clinical Trials with Missing Data (PDF)“
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.
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.
Bibliographische Angaben
- Autoren: Michael O'Kelly , Bohdana Ratitch
- 2014, 1. Auflage, 472 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118762509
- ISBN-13: 9781118762509
- Erscheinungsdatum: 14.02.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 6.22 MB
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Sprache:
Englisch
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