Please use this identifier to cite or link to this item:
192.168.6.56/handle/123456789/55679Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Andrea S. Foulkes | - |
| dc.date.accessioned | 2019-03-20T07:23:38Z | - |
| dc.date.available | 2019-03-20T07:23:38Z | - |
| dc.date.issued | 2009 | - |
| dc.identifier.isbn | 978-0-387-89554-3 | - |
| dc.identifier.uri | http://10.6.20.12:80/handle/123456789/55679 | - |
| dc.description | This book is intended to provide fundamental statistical concepts and tools relevant to the analysis of genetic data arising from population-based association studies. Elementary knowledge of statistical methods at the level of a first course in biostatistics is assumed. Chapters 1–3 provide a general overview of the genetic and epidemiological considerations relevant to this setting. Topics covered include: (1) types of investigations, typical data components and features in genetic association studies, and basic genetic vocabulary (Chapter 1); (2) epidemiological principles relevant to population-based studies, including confounding and effect modification (Chapter 2); (3) elementary statistical methods for estimating and testing association (Chapter 2); (4) the overarching analytical challenges inherent in these investigations (Chapter 2); (5) basic genetic concepts, including linkage disequilibrium, Hardy-Weinberg equilibrium, and haplotypic phase (Chapter 3); and (6) quality control methods for assessing genotyping errors and population substructure (Chapter 3). | - |
| dc.language | en | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Genetics with R | en_US |
| dc.title | Applied Statistical Genetics with R | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Population Studies | |
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