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Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9780896039513_lsuk
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Buchbeschreibung Hardcover. Zustand: new. Bestandsnummer des Verkäufers 9780896039513
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Buchbeschreibung Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposur. Bestandsnummer des Verkäufers 5982264
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Buchbeschreibung Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size. The use of biostatistical techniques in molecular biology has grown tremendously in recent years and is now essential for the correct interpretation of a wide variety of laboratory studies. In Biostatistical Methods, a panel of leading biostatisticians and biomedical researchers describe all the key techniques used to solve commonly occurring analytical problems in molecular biology, and demonstrate how these methods can identify new markers for exposure to a risk factor, or for determining disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, determining new disease biomarkers, and designing studies with adequate levels of statistical power. In the case of genetic effects in human populations, the authors describe sophisticated statistical methods to control the overall false-positive rate when many statistical tests are used in linking particular alleles to the occurrence of disease. Other methods discussed are those used to validate statistical approaches for analyzing the E-D association, to study the associations between disease and the inheritance of particular genetic variants, and to examine real data sets. There are also useful recommendations for statistical and data management software (JAVA, Oracle, S-Plus, STATA, and SAS) . Accessible, state-of-the-art, and highly practical, Biostatistical Methods provides an excellent starting point both for statisticians just beginning work on problems in molecular biology, and for all molecular biologists who want to use biostatistics in genetics research designed to uncover the causes and treatments of disease. Bestandsnummer des Verkäufers 9780896039513
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Buchbeschreibung Hardcover. Zustand: Brand New. 214 pages. 9.00x6.25x1.00 inches. In Stock. Bestandsnummer des Verkäufers x-089603951X
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Buchbeschreibung Zustand: New. Describes many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrates how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Editor(s): Looney, Stephen W. Series: Methods in Molecular Biology. Num Pages: 216 pages, biography. BIC Classification: PBT; PS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 25. Weight in Grams: 550. . 2001. 2002nd Edition. hardcover. . . . . Bestandsnummer des Verkäufers V9780896039513
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Buchbeschreibung Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Bestandsnummer des Verkäufers C9780896039513
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Buchbeschreibung Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size. The use of biostatistical techniques in molecular biology has grown tremendously in recent years and is now essential for the correct interpretation of a wide variety of laboratory studies. In Biostatistical Methods, a panel of leading biostatisticians and biomedical researchers describe all the key techniques used to solve commonly occurring analytical problems in molecular biology, and demonstrate how these methods can identify new markers for exposure to a risk factor, or for determining disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, determining new disease biomarkers, and designing studies with adequate levels of statistical power. In the case of genetic effects in human populations, the authors describe sophisticated statistical methods to control the overall false-positive rate when many statistical tests are used in linking particular alleles to the occurrence of disease. Other methods discussed are those used to validate statistical approaches for analyzing the E-D association, to study the associations between disease and the inheritance of particular genetic variants, and to examine real data sets. There are also useful recommendations for statistical and data management software (JAVA, Oracle, S-Plus, STATA, and SAS) . Accessible, state-of-the-art, and highly practical, Biostatistical Methods provides an excellent starting point both for statisticians just beginning work on problems in molecular biology, and for all molecular biologists who want to use biostatistics in genetics research designed to uncover the causes and treatments of disease. 228 pp. Englisch. Bestandsnummer des Verkäufers 9780896039513
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Buchbeschreibung Zustand: New. Describes many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrates how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Editor(s): Looney, Stephen W. Series: Methods in Molecular Biology. Num Pages: 216 pages, biography. BIC Classification: PBT; PS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 25. Weight in Grams: 550. . 2001. 2002nd Edition. hardcover. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9780896039513
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