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Permutation Testing for Isotonic Inference on Association Studies in Genetics

Permutation Testing for Isotonic Inference on Association Studies in Genetics

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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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 72
ISBN-13: 9783642205835
Indbinding: Paperback
Udgave:
ISBN-10: 3642205836
Udg. Dato: 9 jul 2011
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Oplagsdato: 9 jul 2011
Forfatter(e) Livio Corain, Rosa Arboretti, Dario Mazzaro, Luigi Salmaso


Kategori Genetik (ikke-medicinsk)


ISBN-13 9783642205835


Sprog Engelsk


Indbinding Paperback


Sider 72


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 9 jul 2011


Oplagsdato 9 jul 2011


Forlag Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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