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Verlag: Marcel Dekker Inc, New York, New York, U.S.A., 2004
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Hard Cover. Zustand: Good. NEW LOOKING. Very nice with shiny hard covers and good, clean clear text inside. Certainly a worthwhile hardcover edition for your library. Tight binding. In fine, presentable condition!
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In den WarenkorbZustand: New. pp. 418.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 418 pages. 9.25x6.50x1.00 inches. In Stock.
Zustand: New. Nitis Mukhopadhyay, Sujay Datta, Saibal ChattopadhyayA technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communica.
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In den WarenkorbZustand: New. Atanu Biswas, PhD, is Assistant Professor in the Applied Statistics Unit at the Indian Statistical Institute, Kolkata in India. Dr. Biswas has authored more than eighty published articles and also serves as Associate Editor of several journals, including Se.
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Buch. Zustand: Neu. Applied Sequential Methodologies | Real-World Examples with Data Analysis | Nitis Mukhopadhyay | Buch | Statistics: Textbooks and Mono | Einband - fest (Hardcover) | Englisch | 2004 | CRC Press | EAN 9780824753955 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: New. pp. xxix + 582 Illus.
Sprache: Englisch
Verlag: John Wiley & Sons Dez 2007, 2007
ISBN 10: 0471947539 ISBN 13: 9780471947530
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Buch. Zustand: Neu. Neuware - The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical ResearchWith the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics.Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research.Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.