Isbn: 9780896039513 - biostatistical methods (methods in molecular biology, 184, band 184) (17 Ergebnisse)

Hardcover. Zustand: Fine. pp.xii, 215 pages, a Fine hardback with laminated boards so no dust-jacket issued [089603951X].

hardcover. Zustand: Good. Ex- library book with stamps/ stickers.

Zustand: Very Good. 2002nd Edition. 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.…

Hardcover. Zustand: Very Good. Image shows actual book for sale. Book Condition: Very Good; firm binding; contents very good. No Dust Jacket. Hard Cover Humana Press 2001 Mathematics.

Zustand: 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. …

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Hardcover. Zustand: 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).

Zustand: New. Satisfaction Guaranteed or your money back.

Zustand: New. In English.

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. . . . . …

Hardcover. Zustand: Brand New. 214 pages. 9.00x6.25x1.00 inches. In Stock.

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. …

Gebunden. Zustand: 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 .…

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.…

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.…

Buch. Zustand: 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. …

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.…