Permutation Testing for Isotonic Inference on Association Studies in Genetics by Luigi SalmasoPermutation Testing for Isotonic Inference on Association Studies in Genetics by Luigi Salmaso

Permutation Testing for Isotonic Inference on Association Studies in Genetics

byLuigi Salmaso, Rosa Arboretti, Livio Corain

Paperback | July 9, 2011

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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.
Prof. Luigi Salmaso: Study period (1995) with an ERASMUS grant at the Department of Mathematics - Statistics Division of Athens University. Degree in Statistical and Economic Science from University of Padova. Graduation thesis developed under the supervision of Prof. Stratis Kounias (Dep. of Mathematics - Statistics Division of Athens...
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Title:Permutation Testing for Isotonic Inference on Association Studies in GeneticsFormat:PaperbackDimensions:78 pagesPublished:July 9, 2011Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642205836

ISBN - 13:9783642205835

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Table of Contents

Introduction.- Association Studies in Genetics.- The Nonparametric Permutation Methodology.- Statistical Problems of Allelic Association.- Power and Sample Size Simulations.- Case Study.- Conclusions.- References.