ISBN: 9780470849811 - missing data in clinical studies (statistics in practice) (11 Ergebnisse)

Hardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New. pp. 526.

Zustand: New. 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. Series: Statistics in Practice. Num Pages: 526 pages, Illustrations, BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 232 x 160 x 33. Weight in Grams: 864. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Gebunden. Zustand: New. The detrimental effects of incomplete data sets on the results of clinical trials are both well known and all too commonly recurrent. It is essential that the correct statistical methodology be applied in order to effectively analyse the results of trials a.

Hardcover. Zustand: Brand New. 1st edition. 504 pages. 9.00x6.00x1.25 inches. In Stock.

Buch. Zustand: Neu. Neuware - The detrimental effects of incomplete data sets on the results of clinical trials are both well known and all too commonly recurrent. It is essential that the correct statistical methodology be applied in order to effectively analyse the results of trials affected by missing data.Missing Data in Clinical Trials 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 Trials 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.…