Book by Sham Pak
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
In human genetic research sophisticated statistical methods are increasingly being used to analyse results. Until now there has been no book to introduce and explain these methods. The methods are based on both biology and statistics and are likely to contribute to major scientific and medical advances in the next century. Topics include the estimation of allele frequencies, the testing for Hardy-Weinberg equilibrium, classical and complex segregation analysis, linkage analysis for Mendelian and complex diseases and quantitative traits, the detection of allelic associations, the estimation of heritability for multifactorial traits and path analysis. An understanding of elementary statistical concepts is assumed, but the objectives, principles and limitations of the methods are discussed in detail.
The book will interest scientists engaged in human genetic research and advanced students of genetics and statistics.
... an extremely valuable introduction...invaluable to new researchers in human disease genetics.. (The Statistician, No. 47, 1998)
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EUR 35,24 expédition depuis Royaume-Uni vers Etats-Unis
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Paperback. Etat : new. Paperback. Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis methods that are critical to good science. Beginning with a brief review of genes, gene structure, variation, and terminology, the book moves into analysis of segregation, genetic linkage, allelic associations, and continuity for a wide range of conditions. From the classic Hardy-Weinberg equation to advanced modeling, algorithms and more, this book provides authoritative guidance toward methods, analysis, and applications for anyone performing quantitative analysis of human genetics. Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis methods that are critical to good science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470689288
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