医学
重要事件
截断(统计)
肿瘤科
肺癌
数据集
癌症
生存分析
内科学
统计
数学
考古
历史
作者
Samantha Brown,Jessica A. Lavery,Ronglai Shen,Axel Martin,Kenneth L. Kehl,Shawn M. Sweeney,Eva M. Lepisto,Hira Rizvi,Caroline G. McCarthy,Nikolaus Schultz,Jeremy L. Warner,Ben Ho Park,Philippe L. Bédard,Gregory J. Riely,Deborah Schrag,Katherine S. Panageas,Shawn M. Sweeney,Margaret Foti,Yekaterina B. Khotskaya,Michael V. Fiandalo
出处
期刊:JAMA Oncology
[American Medical Association]
日期:2021-11-04
卷期号:8 (2): 287-287
被引量:46
标识
DOI:10.1001/jamaoncol.2021.5153
摘要
Clinicogenomic data are a valuable resource for evaluation of real-world cancer outcomes and should be analyzed using appropriate methods to maximize their potential. Analysts must become adept at application of appropriate statistical methods to ensure valid, meaningful, and generalizable research findings.
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