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Flexible Modeling of Survival Data with Covariates Subject to Detection Limits via Multiple Imputation

Models for survival data generally assume that covariates are fully observed. However, in medical studies it is not uncommon for biomarkers to be censored at known detection limits. A computationally-efficient multiple imputation procedure for modeling survival data with covariates subject to detect...

詳細記述

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書誌詳細
主要な著者: Bernhardt, Paul W., Wang, Huixia Judy, Zhang, Daowen
フォーマット: Artigo
言語:Inglês
出版事項: 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3816712/
https://ncbi.nlm.nih.gov/pubmed/24204085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2013.07.027
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