基于量子回归的方法,用于描述与从异质人群收集的纵向左删失生物标记物数据相关的特定风险行为模式

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY Journal of Applied Statistics Pub Date : 2024-08-27 DOI:10.1080/02664763.2024.2394784
MinJae Lee, Belinda M. Reininger, Kelley Pettee Gabriel, Nalini Ranjit, Larkin L. Strong
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引用次数: 0

摘要

有许多研究旨在推广积极的生活方式行为,以降低终生罹患癌症和相关疾病的风险。然而,通过统计模式评估这些可改变的行为...
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Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations
There are many studies aimed at promoting positive lifestyle behaviors to reduce lifetime risk of cancer and related diseases. However, assessing these modifiable behaviors through statistical mode...
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来源期刊
Journal of Applied Statistics
Journal of Applied Statistics 数学-统计学与概率论
CiteScore
3.40
自引率
0.00%
发文量
126
审稿时长
6 months
期刊介绍: Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.
期刊最新文献
Framework for constructing an optimal weighted score based on agreement On function-on-function linear quantile regression Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations A two-sample nonparametric test for one-sided location-scale alternative Modeling the time to dropout under phase-wise variable stress fixed cohort setup
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