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相关概念视频

Variability: Analysis01:11

Variability: Analysis

190
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
190
What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
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Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

22.6K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
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Range00:59

Range

12.0K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
12.0K
Coefficient of Variation01:10

Coefficient of Variation

4.2K
The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
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相关实验视频

Updated: Sep 13, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

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成本,价值和变化

Matthew A Pappas1, Hannah K Bassett2, Amit Pahwa3

  • 1Cleveland Clinic, Center for Value-based Care Research, Cleveland, OH, USA; Department of Hospital Medicine, Cleveland Clinic, Cleveland, OH, USA; Cleveland Clinic Lerner College of Medicine of Case Western University, Cleveland, OH, USA.

The Medical clinics of North America
|August 2, 2025
PubMed
概括
此摘要是机器生成的。

由于数据不准确和医疗服务影响不大,估计医疗保健成本和收益具有挑战性. 了解医疗实践的变化是质量改善举措的关键.

关键词:
成本和成本分析.医疗保健成本 医疗保健成本小面积分析小面积分析基于价值的购买方式

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科学领域:

  • 卫生经济学 卫生经济学
  • 医学实践分析 医学实践分析

背景情况:

  • 医疗保健成本估计面临着固定和间接成本的挑战.
  • 量化医疗服务的好处,包括降低死亡率和改善生活质量,本质上是不准确的.
  • 由于科学不确定性,从业者技能和复杂的系统,医疗实践表现出固有的变化.

研究的目的:

  • 探索医疗保健成本和收益估计中固有的不精确性.
  • 确定医疗实践中变化的来源.
  • 突出了解变化的实用性,以提高质量.

主要方法:

  • 对成本归因挑战 (直接与间接/固定成本) 的定性分析.
  • 评估福利估计困难 (死亡率,生活质量).
  • 探索导致医疗实践变化的因素.

主要成果:

  • 直接的变量成本比固定和间接成本更容易追踪.
  • 大多数医疗服务对死亡率的影响很小,改善生活质量很难量化.
  • 医疗实践的变化源于证据的不确定性,从业者的局限性和系统因素.

结论:

  • 很难准确估计医疗保健服务的收益和成本.
  • 了解医疗实践变化的来源对于指导质量改进工作至关重要.