Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Acute and chronic physical risks in avoidant restrictive food intake disorder: findings from a national surveillance study.

Archives of disease in childhood·2026

Same author

From Data to Knowledge. Advancing Life Sciences: Editorial for the CEN2023 Special Issue.

Biometrical journal. Biometrische Zeitschrift·2025

Same author

Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles With Applications to Drug Shelf-Life Estimation.

Statistics in medicine·2025

Same author

Testing for Similarity of Dose Response in Multiregional Clinical Trials.

Statistics in medicine·2025

Same author

Development of a consensus extension of the estimands framework for cluster randomised trials (CRT-estimands): results from an international Delphi study.

medRxiv : the preprint server for health sciences·2025

Same author

Dose-response characterization: A key to success in drug development.

Clinical trials (London, England)·2025

Search research articles

相关实验视频

Updated: Jul 3, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

在实验室医学中设置多变量参考区域的无分布的超矩形耐受区域.

Wei Liu¹, Frank Bretz², Mario Cortina-Borja³

¹Southampton Statistical Sciences Research Institute and School of Maths, University of Southampton, Southampton, SO17 1BJ, UK.

Statistics in medicine

|February 12, 2024

概括

非参数的超矩形容忍区域提供了对实验室测试结果的可靠解释. 数学证明证实了它们对连续测量的有效性,提高了医学诊断的准确性.

关键词:

非参数公差区间的公差区间.非参数耐受性区域是一个非参数耐受性区域.参考范围范围的参考范围范围.参考区域是指参考地区的参考区域.这是一个宽容区间的宽容区间.耐受性区域是一个耐受区域.

更多相关视频

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

相关实验视频

Last Updated: Jul 3, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

科学领域:

统计统计统计统计
医学实验室科学医学实验室科学
生物统计学生物统计学

背景情况:

在实验室医学中,参考区域对于解释患者测试结果至关重要.
通常使用的是耐受性区域,而超矩形区域对于多个结果测量特别有用.
对于非参数的超矩形容忍区域的现有方法缺乏严格的数学验证.

研究的目的:

开发和数学验证非参数的超矩形宽容区域.
提供一种可靠的方法来构建适用于连续测量分布的公差区域.
将验证的方法应用于真实世界的功能分析.

主要方法:

使用Tukey的等价块来构建非参数的超矩形宽容区域.
根据连续数据的假设,为这些容忍区域的有效性提供数学证明.
应用构造区域来分析功能数据.

主要成果:

使用Tukey的等效块构建了新的非参数的超矩形耐受区域.
对于连续测量分布,这些容忍区域的数学有效性被严格证明.
该方法已成功应用于分析功能,证明了其实用性.

结论:

该研究提供了数学验证的非参数的超矩形耐受性区域.
该方法提供了一种可靠和可解释的方法,用于建立实验室医学中的参考区域.
这些发现对诊断测试的准确解释有重大意义,特别是那些具有多个结果测量的诊断测试.