Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

74
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
74
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

178
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
178
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

108
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
108
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.8K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.8K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

142
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
142
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.4K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.4K

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

Spatial inequities in COVID-19 vaccination coverage across Kenya: a geospatial analysis of structural determinants and Development Index patterns.

International journal of epidemiology·2026
Same author

Brief Report: Undetectable HIV-1 Viral Load Among Virally Suppressed People Living With HIV: Implications for Undetectable Equals Untransmittable (U=U) in Resource-Limited Settings Using Dried Spot Testing.

Journal of acquired immune deficiency syndromes (1999)·2025
Same author

Safely reopening and operating a primary healthcare facility after closure due to SARS-CoV-2 infection in a healthcare worker - Nairobi, Kenya, 2020.

International journal of infection control·2025
Same author

Uncovering the impact of randomness in HIV hotspot formation: A mathematical modeling study.

PLoS computational biology·2025
Same author

Knowledge of HIV status among mothers accompanying their infants for immunization in Machakos, Kenya, 2014.

East African journal of applied health monitoring and evaluation·2025
Same author

Non-disclosure of Known HIV Status among People Living with HIV in the Mozambique Population-Based HIV Impact Assessment (INSIDA 2021).

AIDS and behavior·2025

相关实验视频

Updated: Jun 2, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

%diag_test:一种通用的SAS宏,用于评估多个诊断测试的诊断准确度指标.

Jacques K Muthusi1, Peter W Young2, Frankline O Mboya3

  • 1Division of Global HIV and Tuberculosis, Global Health Centre, U.S. Centres for Disease Control and Prevention, P.O. Box 606 - 00621, Nairobi, Kenya. mwj6@cdc.gov.

BMC medical informatics and decision making
|January 13, 2025
PubMed
概括

本研究介绍了一种SAS宏,用于使用个人级数据评估多个诊断测试,自动化分析和减少错误. 该工具生成了全面的准确度指标和图形,帮助研究人员进行测试选择.

关键词:
测量诊断准确性的措施.疾病的流行率 疾病的流行率机器学习分类机器学习分类.可重复的研究可重复.在SAS宏观上,SAS宏观上.

更多相关视频

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

683
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K

相关实验视频

Last Updated: Jun 2, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

683
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K

科学领域:

  • 生物统计学 生物统计学
  • 医疗信息学 医疗信息学
  • 医疗保健服务研究 医疗服务研究

背景情况:

  • 诊断测试准确度指标 (DAMs),如灵敏度,特异性,AUROC和AUPRC,对于评估医疗测试至关重要.
  • 现有的分析工具通常专注于使用总结数据的单个诊断测试.
  • 需要有效的方法来分析使用个人级别数据的多个诊断测试.

研究的目的:

  • 开发和介绍一个SAS宏观的综合评估多个诊断测试.
  • 为了自动化个人级别诊断测试数据的分析,减少时间和错误.
  • 为研究人员提供出版质量的成果,包括各种准确度指标和图形表示.

主要方法:

  • 一个SAS宏被开发来处理个人级别的数据用于诊断测试评估.
  • 该宏自动创建2x2汇总表,AUROC和AUPRC.
  • 它要求用户指定输入数据集,标准和测试变量以及值.

主要成果:

  • 通过复制已公布的干血斑点 (DBS) 测试结果来对艾滋病毒病毒载量监测进行验证.
  • 它还被用来复制机器学习算法对冠状动脉疾病预测的发现.
  • 输出包括超过15个精度测量和叠加的AUROC/AUPRC图形.

结论:

  • SAS宏是一个强大的工具,用于分析多个诊断测试,提高效率和准确性.
  • 分析的自动化节省了时间,最大限度地减少了转录错误,并产生了准备出版的结果.
  • 宏的源代码可以修改,以包含额外的诊断措施和差异估计方法.