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Combining large number of weak biomarkers based on AUC.基于曲线下面积（AUC）合并大量弱生物标志物。
Stat Med. 2015 Dec 20;34(29):3811-30. doi: 10.1002/sim.6600. Epub 2015 Jul 30.
2
Circulating cell-free miRNAs as biomarker for triple-negative breast cancer.循环游离微小RNA作为三阴性乳腺癌的生物标志物
Br J Cancer. 2015 May 26;112(11):1751-9. doi: 10.1038/bjc.2015.143. Epub 2015 Apr 23.
3
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：TRIPOD 声明。
Ann Intern Med. 2015 Jan 6;162(1):55-63. doi: 10.7326/M14-0697.
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NqA: an R-based algorithm for the normalization and analysis of microRNA quantitative real-time polymerase chain reaction data.NqA：一种基于R的用于微小RNA定量实时聚合酶链反应数据标准化和分析的算法。
Anal Biochem. 2014 Sep 15;461:7-9. doi: 10.1016/j.ab.2014.05.020. Epub 2014 Jun 2.
5
Linear combination methods to improve diagnostic/prognostic accuracy on future observations.用于提高对未来观察结果的诊断/预后准确性的线性组合方法。
Stat Methods Med Res. 2016 Aug;25(4):1359-80. doi: 10.1177/0962280213481053. Epub 2013 Apr 16.
6
Assessing the clinical relevance of oncogenic pathways in neoadjuvant breast cancer.评估致癌途径在新辅助乳腺癌中的临床相关性。
J Clin Oncol. 2012 Jun 1;30(16):1912-5. doi: 10.1200/JCO.2012.41.7386. Epub 2012 Apr 16.
7
Biomarkers for Early Cancer Detection - Methodological Aspects.早期癌症检测的生物标志物——方法学方面
Breast Care (Basel). 2010;5(2):62-65. doi: 10.1159/000303956. Epub 2010 Apr 21.
8
MicroRNA signatures in human cancers.人类癌症中的微小RNA特征
Nat Rev Cancer. 2006 Nov;6(11):857-66. doi: 10.1038/nrc1997.
9
Combining diagnostic test results to increase accuracy.结合诊断测试结果以提高准确性。
Biostatistics. 2000 Jun;1(2):123-40. doi: 10.1093/biostatistics/1.2.123.
10
Simplifying a prognostic model: a simulation study based on clinical data.简化预后模型：基于临床数据的模拟研究
Stat Med. 2002 Dec 30;21(24):3803-22. doi: 10.1002/sim.1422.

Comment on 'Circulating cell-free miRNAs as biomarker for triple-negative breast cancer'-Methodological challenges in combining miRNAs as circulating biomarkers.

作者信息

Verderio P, Bottelli S, Lecchi M, Plebani M, Gariboldi M, Pizzamiglio S, Ciniselli C M

机构信息

Unit of Medical Statistics, Biometry and Bioinformatics, Fondazione IRCCS Istituto Nazionale dei Tumori, via G. Venezian 1, 20133 Milano, Italy.

Molecular Genetics of Cancer, Fondazione Istituto FIRC di Oncologia Molecolare, via Adamello 16, 20139 Milano, Italy.

出版信息

Br J Cancer. 2016 May 10;114(10):e5. doi: 10.1038/bjc.2016.1. Epub 2016 Apr 21.

DOI:10.1038/bjc.2016.1
PMID:27100729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4865969/
Abstract
摘要