Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach.
Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach.
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DOI：
10.1177/0962280212460444
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发表时间：
2016-04
影响因子：
2.3
通讯作者：
Bostick RM
中科院分区：
文献类型：
--
作者：
Long Q;Zhang X;Zhao Y;Johnson BA;Bostick RM
在一些生物医学研究中，生物标志物沿着沿着一些空间结构或随时间重复测量，并且受到测量误差的影响。在这些研究中，通常有兴趣评估临床终点与这些生物标志物（也称为功能性生物标志物）之间的关联。在这样的数据中潜在地存在两个水平的相关性，即，来自同一受试者的生物标志物的重复测量之间和来自同一受试者的多个生物标志物之间;现有方法中没有一种解释多个功能性生物标志物之间的相关性。我们提出了一种贝叶斯方法来模拟感兴趣的临床结果（例如，结直肠癌的风险），同时考虑潜在的相关性。我们的仿真结果表明，该方法在有限样本下，在各种设置取得了良好的性能。在存在大量或中度相关性的情况下，所提出的方法优于不考虑相关性的现有方法。将该方法应用于结直肠肿瘤风险生物标志物的研究，我们的结果表明结直肠癌的风险与两种功能性生物标志物APC和TGF-α相关，特别是与它们在结直肠隐窝的增殖区和分化区之间的区域中的值相关。
In some biomedical studies, biomarkers are measured repeatedly along some spatial structure or over time and are subject to measurement error. In these studies, it is often of interest to evaluate associations between a clinical endpoint and these biomarkers (also known as functional biomarkers). There are potentially two levels of correlation in such data, namely, between repeated measurements of a biomarker from the same subject and between multiple biomarkers from the same subject; none of the existing methods accounts for correlation between multiple functional biomarkers. We propose a Bayesian approach to model a clinical outcome of interest (e.g., risk for colorectal cancer) in the presence of multiple functional biomarkers while accounting for potential correlation. Our simulations show that the proposed approach achieves good performance in finite samples under various settings. In the presence of substantial or moderate correlation, the proposed approach outperforms an existing approach that does not account for correlation. The proposed approach is applied to a study of biomarkers of risk for colorectal neoplasms and our results show that the risk for colorectal cancer is associated with two functional biomarkers, APC and TGF-α, in particular, with their values in the region between the proliferating zone and the differentiating zone of colorectal crypts.
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DOI：
10.1198/016214503000000422
发表时间：
2003-09-01
影响因子：
3.7
作者：
Morris, JS;Vannucci, M;Carroll, RJ
通讯作者：
Carroll, RJ
影响因子：
1.6
作者：
Li, Yehua;Hsing, Tailen
通讯作者：
Hsing, Tailen
影响因子：
1.9
作者：
Apanasovich, TV;Sheather, S;Carroll, RJ
通讯作者：
Carroll, RJ
DOI：
10.1158/1055-9965.epi-08-0732
发表时间：
2009-01
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Daniel CR;Bostick RM;Flanders WD;Long Q;Fedirko V;Sidelnikov E;Seabrook ME
通讯作者：
Seabrook ME
影响因子：
1.7
作者：
Long, Qi;Zhang, Xiaoxi;Bostick, Roberd M.
通讯作者：
Bostick, Roberd M.