《系统评价与荟萃分析的巨大成本：呼吁机器学习更多参与以评估临床试验前景》的勘误 [当代临床试验通讯 16 (2019) 100443]
Corrigendum to "The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials" [Contemp. Clin. Trials Commun. 16 (2019) 100443].
作者信息
Michelson Matthew, Reuter Katja
机构信息
Evid Science, 2361 Rosecrans Ave #348, El Segundo, 90245, Los Angeles, CA, United States.
Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N, Soto St, Los Angeles, CA, 90032, United States.
出版信息
Contemp Clin Trials Commun. 2019 Sep 12;16:100450. doi: 10.1016/j.conctc.2019.100450. eCollection 2019 Dec.
Abstract
[This corrects the article DOI: 10.1016/j.conctc.2019.100443.].
摘要
[本文更正了文章的数字对象标识符：10.1016/j.conctc.2019.100443。]
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