Addressing Multiple Detection Limits with Semiparametric Cumulative Probability Models

IF 3 1区 数学 Q1 STATISTICS & PROBABILITY Journal of the American Statistical Association Pub Date : 2024-02-13 DOI:10.1080/01621459.2024.2315667
Yuqi Tian, Chun Li, Shengxin Tu, Nathan T. James, Frank E. Harrell, Bryan E. Shepherd
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Abstract

Detection limits (DLs), where a variable cannot be measured outside of a certain range, are common in research. DLs may vary across study sites or over time. Most approaches to handling DLs in resp...
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用半参数累积概率模型解决多重检测极限问题
检测限(DL)是指在一定范围外无法测量变量,这在研究中很常见。不同研究地点或不同时间的检测限可能会有所不同。大多数处理 DLs 的方法都是...
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来源期刊
CiteScore
7.50
自引率
8.10%
发文量
168
审稿时长
12 months
期刊介绍: Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA . JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.
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