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Robust best linear estimator for Cox regression with instrumental variables in whole cohort and surrogates with additive measurement error in calibration sample

Biomedical researchers are often interested in estimating the effect of an environmental exposure in relation to a chronic disease endpoint. However, the exposure variable of interest may be measured with errors. In a subset of the whole cohort, a surrogate variable is available for the true unobser...

詳細記述

保存先:
書誌詳細
出版年:Biom J
主要な著者: Wang, Ching-Yun, Song, Xiao
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5399789/
https://ncbi.nlm.nih.gov/pubmed/27546625
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201500238
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