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

F Distribution01:19

F Distribution

3.8K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
3.8K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

1.7K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
1.7K

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

Performance of the European Kidney Function Consortium (EKFC) creatinine-based eGFR equation and other eGFR equations in a north European population. A multicentre study in Norway.

Clinical chemistry and laboratory medicine·2026
Same author

Likelihood ratios of quantitative diagnostic test results.

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Interpreting two test results of one analyte from the same individual using bivariate reference values.

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Divide or subtract: transferrin saturation versus unbound iron binding capacity (UIBC).

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Sample stability of forty-two analytes in plasma or serum pools after one to four repeated -80 °C freeze-thaw cycles.

Scandinavian journal of clinical and laboratory investigation·2025
Same author

Testing MMA<sub>100</sub> - the eGFR-adjusted concentration of methylmalonic acid in plasma.

Scandinavian journal of clinical and laboratory investigation·2025

相关实验视频

Updated: Jul 21, 2025

FIBS-enabled Noninvasive Metabolic Profiling
09:16

FIBS-enabled Noninvasive Metabolic Profiling

Published on: February 3, 2014

9.9K

FIB-4 的参考变化值.

Arne Åsberg1, Lena Løfblad1, Gunhild Garmo Hov1,2

  • 1Department of Clinical Chemistry, St. Olav's Hospital, Trondheim, Norway.

Scandinavian journal of clinical and laboratory investigation
|July 28, 2023
PubMed
概括

临床医生现在可以使用纤维化-4指数 (FIB-4) 的参考变化值 (RCV) 来解释连续非肝硬化性肝纤维化风险评估. 这些RCV,从0.72到1.43不等,有助于评估FIB-4得分的显著变化.

关键词:
生物变异 生物变异脂肪肝是一种脂肪肝.肝硬化是肝硬化的一种疾病.肝脏纤维化 肝脏纤维化肝功能测试 肝功能测试 肝功能测试人口人口人口的人口人口.

更多相关视频

Real Time Monitoring of Intracellular Bile Acid Dynamics Using a Genetically Encoded FRET-based Bile Acid Sensor
09:21

Real Time Monitoring of Intracellular Bile Acid Dynamics Using a Genetically Encoded FRET-based Bile Acid Sensor

Published on: January 4, 2016

10.0K
A Novel Nicotinamide Adenine Dinucleotide Correction Method for Intracellular Ca2+ Measurement with Fura-2-Analog in Live Cells
05:58

A Novel Nicotinamide Adenine Dinucleotide Correction Method for Intracellular Ca2+ Measurement with Fura-2-Analog in Live Cells

Published on: September 20, 2019

6.8K

相关实验视频

Last Updated: Jul 21, 2025

FIBS-enabled Noninvasive Metabolic Profiling
09:16

FIBS-enabled Noninvasive Metabolic Profiling

Published on: February 3, 2014

9.9K
Real Time Monitoring of Intracellular Bile Acid Dynamics Using a Genetically Encoded FRET-based Bile Acid Sensor
09:21

Real Time Monitoring of Intracellular Bile Acid Dynamics Using a Genetically Encoded FRET-based Bile Acid Sensor

Published on: January 4, 2016

10.0K
A Novel Nicotinamide Adenine Dinucleotide Correction Method for Intracellular Ca2+ Measurement with Fura-2-Analog in Live Cells
05:58

A Novel Nicotinamide Adenine Dinucleotide Correction Method for Intracellular Ca2+ Measurement with Fura-2-Analog in Live Cells

Published on: September 20, 2019

6.8K

科学领域:

  • 临床化学 临床化学
  • 肝病学 肝病学是一种肝病学.
  • 生物统计学 生物统计学

背景情况:

  • 比较连续分析结果有助于临床决策.
  • 参考变化值 (RCV) 对于解释分析物变化至关重要.
  • 对于非肝硬化患者的纤维化-4指数 (FIB-4) 没有确立的RCV.

研究的目的:

  • 在成年人中估计和验证纤维化-4指数 (FIB-4) 的参考变化值 (RCV).
  • 为临床医生提供一种工具,用于解释非肝硬化患者的连续FIB-4测量.
  • 评估受试者内FIB-4的生物变异.

主要方法:

  • 对599名患者的门诊数据进行了回顾性分析,其中包括两次FIB-4测量.
  • 使用年龄,AST,ALT和血小板计数计算FIB-4.
  • 使用参数和非参数统计方法对串行FIB-4值的比率进行RCV的估计.

主要成果:

  • 估计FIB-4的RCV为0.721.40 (参数) 和0.721.43 (非参数).
  • 比率的第5个和第95个百分点与性别,年龄,分析剂水平或测量间的时间没有显著关联.
  • 研究对象内FIB-4的生物变异被确定为13.9%.

结论:

  • 已建立的FIB-4的RCV可以更好地解释非肝硬化成年人的连续测试结果.
  • 导出的RCVs (0.71.4) 表明90%的真实变化概率需要在这个范围之外的比率.
  • 这些发现支持使用FIB-4改善肝纤维化风险的监测.