| 书目名称 | Permutation Testing for Isotonic Inference on Association Studies in Genetics | | 编辑 | Luigi Salmaso,Rosa Arboretti,Dario Mazzaro | | 视频video | | | 概述 | Multivariate analysis in genetic studies Powerful and flexible statistical solutions.Fully nonparametric analysis | | 丛书名称 | SpringerBriefs in Statistics | | 图书封面 |  | | 描述 | .The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and likelihood-based tests to perform case-control analyses to study allelic association between marker, disease-gene and environmental factors. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles together. Furthermore, we show simulations under different assumptions on the genetic model and analyse real data sets by simply studying one locus with the permutation test.. | | 出版日期 | Book 2011 | | 关键词 | genetic studies; linkage analysis; multivariate tests; permutation tests | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-20584-2 | | isbn_softcover | 978-3-642-20583-5 | | isbn_ebook | 978-3-642-20584-2Series ISSN 2191-544X Series E-ISSN 2191-5458 | | issn_series | 2191-544X | | copyright | Springer Berlin Heidelberg 2011 |
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发表于 2025-3-21 17:18:35
