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

Correlation and Regression00:53

Correlation and Regression

1.3K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
1.3K
Multiple Regression01:25

Multiple Regression

3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Regression Analysis01:11

Regression Analysis

5.7K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
5.7K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.4K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K
Coefficient of Correlation01:12

Coefficient of Correlation

6.2K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
6.2K
Calculating and Interpreting the Linear Correlation Coefficient01:11

Calculating and Interpreting the Linear Correlation Coefficient

6.0K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
6.0K

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

Economic evaluation of adjuvant chemotherapy for non-metastatic sarcoma using the real-world data from the French nationwide DEEPSARC study.

Journal of medical economics·2026
Same author

Overall survival of patients with localized soft tissue sarcoma treated with or without adjuvant chemotherapy (DEEPSARC): a real world nationwide retrospective cohort study in France.

EClinicalMedicine·2026
Same author

Left Ventricular Function and Atrial Remodeling Shape Outcomes After Mitral-Transcatheter Edge-to-Edge Repair.

ESC heart failure·2026
Same author

Linking the NETSARC+ National Sarcoma Database With the SNDS to Evaluate Adjuvant and/or Neoadjuvant Therapy: Report on the Linkage Process and Result (Health Data Hub's DEEPSARC Pilot Project).

Fundamental & clinical pharmacology·2025
Same author

Three-year of hepatocellular carcinoma surveillance in patients with cirrhosis diagnosed between 2009 and 2013: a cohort study based on the French National Health Data System (SNDS) claims data.

Frontiers in oncology·2025
Same author

Interleukin-17 Inhibitors and Early Major Adverse Cardiovascular Events.

JAMA dermatology·2025
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 10, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K

考克斯回归与链接数据的回归.

Thanh Huan Vo1,2, Valérie Garès1, Li-Chun Zhang3,4

  • 1Univ Rennes, INSA, CNRS, IRMAR-UMR 6625, Rennes, France.

Statistics in medicine
|November 21, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新方法,以减少因医学研究中记录链接错误引起的考克斯回归分析偏差. 拟议的技术可以在结合来自多个来源的数据时提高估计的准确性.

关键词:
考克斯回归法 考克斯回归法调整后的估计方程错误链接 错误链接二次分析二次分析二次分析差异估计估计差异估计.

更多相关视频

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.2K

相关实验视频

Last Updated: Jul 10, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.2K

科学领域:

  • 生物统计学 生物统计学
  • 流行病学 流行病学
  • 数据科学数据科学数据科学

背景情况:

  • 记录链接对于在医学研究中整合来自不同来源的数据至关重要.
  • 连接错误是固有的,可以在统计分析中引入偏差,特别是在Cox回归模型中.
  • 解决链接错误的现有方法主要集中在通用线性模型上,为考克斯回归留下了一个空白.

研究的目的:

  • 使用链接数据开发用于考克斯回归分析的调整估计方程.
  • 为了解决因链接错误而产生的偏差,当数据由第三方准备而无需访问匹配变量时.
  • 为调整后的考克斯回归系数提供一个非对称的无偏差估计器.

主要方法:

  • 为二次考克斯回归分析提出了调整后的估计方程.
  • 进行蒙特卡洛模拟,以评估拟议方法的性能.
  • 将该方法应用于来自布雷斯特中风登记处的现实世界链接数据库.

主要成果:

  • 拟议的方法显著减少了因错误链接引起的考克斯模型参数估计中的偏差.
  • 与未经调整的方法相比,调整后的估计器显示出更高的准确性.
  • 一个无对称的无偏差估计器成功开发和验证.

结论:

  • 开发的方法为处理考克斯回归分析中的链接错误提供了可靠的解决方案.
  • 这种方法提高了来自链接医疗数据库的发现的可靠性.
  • 该研究为研究人员在使用链接数据的临床和流行病学研究中提供了宝贵的工具.