» Missing Data in Clinical Studies (Statistics in Practice)
Price: $83.60
Rating: 5.0 / 5.00 (1 review)
Usually ships in 24 hours
Manufacturer: Wiley
Click to Buy
Rating: 5.0 / 5.00 (1 review)
Usually ships in 24 hours
Manufacturer: Wiley
Click to Buy
Missing Data in Clinical Studies (Statistics in Practice) Details
Binding: HardcoverDewey Decimal Number: 610.724
EAN: 9780470849811
ISBN: 0470849819
Label: Wiley
Manufacturer: Wiley
Number Of Items: 1
Number Of Pages: 526
Publication Date: 2007-05-04
Publisher: Wiley
Studio: Wiley
Items related to Missing Data in Clinical Studies (Statistics in Practice)
Missing Data in Clinical Studies (Statistics in Practice) Reviews
Customer Rating:Summary: another great book by Molenberghs
Comment: This is a very good guide to missing data which plays such a major role in clinical studies. Daniels and Hogan's book is a competitor. They are both current, cover the important methods, models and estimation algorithms. The Hogan book is a little more recent. This text is a little more detailed and has a larger bibliography. Both books are very practical. They both use case studies well to illustrate the value of the methods and to compare them. Daniels and Hogan spend a lot of time with Bayesian approaches and MCMC methods While these authors stick to describing the classical methods in great detail.
I recommend this highly for biostatisticians just as I did for the Daniels and Hogan text.
Editorial Review for Missing Data in Clinical Studies (Statistics in Practice):
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.
