Missing Data in Clinical StudiesISBN: 978-0-470-84981-1
Hardcover
536 pages
April 2007
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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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.