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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.
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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) . <br> 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.
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Biostatistical Methods. (Methods in Molecular Biology, 184)
Da: G. & J. CHESTERS, TAMWORTH, Regno Unito
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Hardcover. Condizione: Fine. pp.xii, 215 pages, a Fine hardback with laminated boards so no dust-jacket issued [089603951X]. Codice articolo 143849
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Biostatistical Methods (Methods in Molecular Biology, 184)
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:089603951X. Codice articolo 9641678
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Biostatistical Methods (Methods in Molecular Biology, 184)
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hardcover. Condizione: Good. Ex- library book with stamps/ stickers. Codice articolo mon0003288157
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Biostatistical Methods [Methods in Molecular Biology, Volume 184]
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Humana Press, Totowa, N.J., 2002
ISBN 10: 089603951X
ISBN 13: 9780896039513
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Hardcover. Condizione: Very Good. 8vo, hardcover. No dj. Vg+ condition. Prev. owner's name-labels neatly removed from inside cover; contents bright, crisp & clean, unread. xii, 214 p., illus. (some color). Codice articolo 1080809.46
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Biostatistical Methods (Methods in Molecular Biology, 184)
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Biostatistical Methods (Methods in Molecular Biology, 184)
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Biostatistical Methods
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Condizione: 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. . . . . Codice articolo V9780896039513
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Biostatistical Methods
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasLeading 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 . Codice articolo 5982264
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Biostatistical Methods
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Buch. Condizione: 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. Codice articolo 9780896039513
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Biostatistical Methods
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Buch. Condizione: Neu. Biostatistical Methods | Stephen W. Looney | Buch | xii | Englisch | 2001 | Humana | EAN 9780896039513 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102548092
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