Article
Bayesian variable selection for high dimensional predictors and self-reported outcomes.
BMC medical informatics and decision making - 7 Sept 2020
Gu Xiangdong, Tadesse Mahlet G, Foulkes Andrea S, Ma Yunsheng, Balasubramanian Raji
Abstract excerpt
BACKGROUND: The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnosis of silent events may also occur through the use of imperfect laboratory-based diagnostic tests. In this paper, we describe an approach for variable selection in high dimensional datasets for...
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