Modeling Informatively Missing Genotypes in Haplotype Analysis

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Modeling Informatively Missing Genotypes in Haplotype Analysis.

It is common to have missing genotypes in practical genetic studies. The majority of the existing statistical methods, including those on haplotype analysis, assume that genotypes are missing at random-that is, at a given marker, different genotypes and different alleles are missing with the same probability. In our previous work, we have demonstrated that the violation of this assumption may l...

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Haplotype analysis in the presence of informatively missing genotype data.

It is common to have missing genotypes in practical genetic studies, but the exact underlying missing data mechanism is generally unknown to the investigators. Although some statistical methods can handle missing data, they usually assume that genotypes are missing at random, that is, at a given marker, different genotypes and different alleles are missing with the same probability. These inclu...

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Haplotype Inference on Pedigrees with Recombinations, Errors, and Missing Genotypes via SAT solvers

The Minimum-Recombinant Haplotype Configuration problem (MRHC) has been highly successful in providing a sound combinatorial formulation for the important problem of genotype phasing on pedigrees. Despite several algorithmic advances and refinements that led to some efficient algorithms, its applicability to real datasets has been limited by the absence of some important characteristics of thes...

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Analysis of Subgroup Effects in Randomized Tri- als When Subgroup Membership is Informatively Missing: Application to the MADIT II Study

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ژورنال

عنوان ژورنال: Communications in Statistics - Theory and Methods

سال: 2009

ISSN: 0361-0926,1532-415X

DOI: 10.1080/03610920802696588