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Evaluation of a Bayesian Model-Integration-Based Method for Censored Data

OBJECTIVE: Non-random missing data can adversely affect family-based linkage detection through loss of power and possible introduction of bias depending on how censoring is modeled. We examined the statistical properties of a previously proposed quantitative trait threshold (QTT) model developed for...

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Detalhes bibliográficos
Main Authors: Hou, Liping, Wang, Kai, Bartlett, Christopher W.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3571622/
https://ncbi.nlm.nih.gov/pubmed/23018141
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1159/000342707
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