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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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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2012
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| Konular: | |
| Online Erişim: | 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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