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放射科医生统计学基础:第2部分——用于提高诊断准确性和研究效度的高级统计学

Statistics Primer for Radiologists: Part 2-Advanced statistics for Enhancing Diagnostic Precision and Research Validity.

作者信息

Kumar Adarsh Anil, Kannath Santhosh, Valakkada Jineesh

机构信息

Department of Imaging Sciences and Interventional Radiology, Sree Chitra Institute of Medical Sciences, Trivandrum, Kerala, India.

出版信息

Indian J Radiol Imaging. 2025 Jan 9;35(Suppl 1):S74-S92. doi: 10.1055/s-0044-1800971. eCollection 2025 Jan.

Abstract

Second part of this statistics primer focuses on advanced statistical concepts continuing on the foundation of basic statistics built from the first part of this primer. This advanced primer aims to delve deeper into essential statistical concepts beyond the basics, equipping the reader with the knowledge to effectively analyze complex data sets, explore correlations and causality, employ regression analysis techniques, interpret survival curves, and evaluate diagnostic tests rigorously. It primarily focuses on the statistical tests used to analyze the relationship between groups of variables (the statistical tests to analyze the difference between groups of variables was discussed in the part 1 of this series). Toward the end of the article concepts of survival curves and methods for assessing the diagnostic accuracy of tests are stressed upon.

摘要

本统计学入门的第二部分聚焦于高级统计概念,它建立在本入门第一部分所构建的基础统计学之上。这本高级入门旨在更深入地探究基础之外的重要统计概念,使读者具备有效分析复杂数据集、探索相关性与因果关系、运用回归分析技术、解读生存曲线以及严格评估诊断测试的知识。它主要关注用于分析变量组之间关系的统计检验(本系列第一部分讨论了用于分析变量组之间差异的统计检验)。在文章结尾强调了生存曲线的概念以及评估测试诊断准确性的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba9a/11717465/1ec2f0c8e6de/10-1055-s-0044-1800971-i2493718-1.jpg

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