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相关概念视频

Coefficient of Correlation01:12

Coefficient of Correlation

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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.
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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:
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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相关实验视频

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Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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验证线性回归方程使用中腕周长来预测身体质量指数.

Adwaith Krishna Surendran1, Surendran Deepanjali2

  • 1Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.

Clinical nutrition ESPEN
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概括

使用中上臂周长 (MUAC) 估计住院患者的体重指数 (BMI) 显示,实际BMI的准确性不佳. 然而,低的MUAC有效地识别了临床环境中的营养不良.

关键词:
达成协议的95%限制.人类测量学 人类测量学.这是一个偏见的偏见.体重指数 (Body Mass Index) 是一个指数.上半臂周长的中上臂周长验证 验证 验证 验证

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科学领域:

  • 临床营养学 临床营养学
  • 人类测量学 人类测量学.
  • 患者评估 患者评估

背景情况:

  • 在没有体重和身高测量的情况下,在住院患者中进行准确的营养评估是很困难的.
  • 中高臂周长 (MUAC) 是一种潜在的替代人体测量方法.

研究的目的:

  • 用MUAC验证回归方程来预测身体质量指数 (BMI).
  • 评估全球MUAC切线 (≤24厘米) 以检测营养不良.

主要方法:

  • 在201名稳定的患者中,前性测量站立身高,体重和MUAC.
  • 布兰德-阿尔特曼分析用于评估计算和预测BMI之间的一致性.

主要成果:

  • 从MUAC预测的BMI显示校准不佳,偏差为+1.076.
  • MUAC ≤24厘米显示高灵敏度 (97%) 和良好的特异性 (83%) 检测营养不良.

结论:

  • 使用MUAC进行的BMI预测对于住院患者的精确估计是不可靠的.
  • 低的MUAC (≤24厘米) 是识别营养不良的有价值和准确的指标.