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Efficiency of multiple imputation to test for association in the presence of missing data

The presence of missing data in association studies is an important problem, particularly with high-density single-nucleotide polymorphism (SNP) maps, because the probability that at least one genotype is missing dramatically increases with the number of markers. A possible strategy is to simply ign...

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Detalhes bibliográficos
Main Authors: Croiseau, Pascal, Bardel, Claire, Génin, Emmanuelle
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2367517/
https://ncbi.nlm.nih.gov/pubmed/18466521
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