Isbn: 9781118460702 - clinical trials with missing data: a guide for practitioners (statistics in practice) (8 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be 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: New. pp. 472.

Zustand: New. In English.

Zustand: New. A practical guide for handling and planning for missing data in clinical trials, Clinical Trials with Missing Data provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents statisticians, biostatisticians, and researchers with approaches to effectively address them. Series: Statistics in Practice. Num Pages: 472 pages, illustrations. BIC Classification: MBGR; MBNS. Category: (P) Professional & Vocational. Dimension: 150 x 236 x 28. Weight in Grams: 716. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 472 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New. This is an excellent addition to the field, dealing with problems arising from missing data or unobserved data in clinical trials. It successfully bridges the gap between clinicians and statisticians using relatively common language to build common ground.

Buch. Zustand: Neu. Neuware - 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.…