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

Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

9.2K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
9.2K
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

10.1K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
10.1K
Confidence Intervals01:21

Confidence Intervals

10.0K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
10.0K
Confidence Coefficient01:24

Confidence Coefficient

10.3K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.3K
Finding Critical Values for Chi-Square01:18

Finding Critical Values for Chi-Square

4.2K
Consider a curve representing sample data drawn randomly from a normally distributed population. One must construct confidence intervals to estimate or to test a claim regarding the population standard deviation. For example, a 95% confidence interval covers 95% of the area under the curve, and the remaining 5% is equally distributed on either side of the curve. To achieve such confidence intervals, one must determine the critical values. The critical values are simply the values separating the...
4.2K
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

13.2K
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.2K

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

Clinical Diagnostics After Failed Hearing Screening in People With Intellectual Disabilities Do Not Often Take Place.

Journal of intellectual disability research : JIDR·2026
Same author

ADDIS-Graphs for Online Error Control With Application to Platform Trials.

Biometrical journal. Biometrische Zeitschrift·2025
Same author

Evaluating the Hearing-Related Quality of Life in People With Intellectual Disabilities.

Journal of intellectual disability research : JIDR·2025
Same author

From Data to Knowledge. Advancing Life Sciences: Editorial for the CEN2023 Special Issue.

Biometrical journal. Biometrische Zeitschrift·2025
Same author

Effect of Ballroom Dancing on the Physical, Psychological, and Mental Well-Being of Oncological Patients: A Pilot Study.

International journal of environmental research and public health·2025
Same author

Editorial for the Special Collection "MCP 2022".

Biometrical journal. Biometrische Zeitschrift·2025
Same journal

Bayesian multivariate linear mixed-effects models with varied association structures.

Statistical methods in medical research·2026
Same journal

Inference about the ratio of age-standardized rates between two overlapping populations.

Statistical methods in medical research·2026
Same journal

A robust neural network with random effects for subject-specific prediction of clustered count data.

Statistical methods in medical research·2026
Same journal

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints.

Statistical methods in medical research·2026
Same journal

Joint analysis of longitudinal and recurrent event data: A functional regression approach with autoregressive frailty.

Statistical methods in medical research·2026
Same journal

Empirical likelihood inference for the area under the receiver operating characteristic (ROC) curve with verification biased data.

Statistical methods in medical research·2026
查看所有相关文章

相关实验视频

Updated: Jan 11, 2026

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.6K

图形测试程序的有信息的同时置信区间.

Werner Brannath1, Liane Kluge1, Martin Scharpenberg1

  • 1Competence Center for Clinical Trials Bremen, University of Bremen, Bremen, Germany.

Statistical methods in medical research
|November 14, 2025
PubMed
概括
此摘要是机器生成的。

新的同时置信区间为图形测试程序提供了信息性的结果. 这些间隔在获取信息和拒绝假设之间提供了平衡,增强了统计分析.

关键词:
同时的置信区间.图形测试程序 图形测试程序有关信息的信心区间.

更多相关视频

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

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

Published on: August 9, 2024

795
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

11.4K

相关实验视频

Last Updated: Jan 11, 2026

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.6K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

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

Published on: August 9, 2024

795
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

11.4K

科学领域:

  • 统计 统计 统计 统计
  • 统计推断的统计推断.
  • 测试多个假设测试.

背景情况:

  • 传统的与封闭测试程序兼容的同时置信区间 (SCI) 可能没有信息.
  • 这些SCI的边界可以保持在零假设边界,无论点估计的偏差.
  • 这种限制在邦费罗尼-霍尔姆法和备用程序中被观察到.

研究的目的:

  • 将信息的同时置信区间的概念扩展到图形测试程序.
  • 开发比传统SCI更具信息性的SCI,同时保持强大的家庭智能错误率控制.
  • 为现有的多种测试方法提供实用的替代方案.

主要方法:

  • 使用一系列双图表来定义SCI.
  • 对间隔构造的投影方法的应用.
  • 开发一个简单的代算法来计算拟议的SCIs.

主要成果:

  • 新建议的SCI没有传统SCI的缺陷.
  • 从这些SCI中获得的信息随着对零假设的证据的增加而增加.
  • 一项模拟研究证明了复杂的图形测试程序的有效性.

结论:

  • 建议的信息性SCI在多重假设测试中提供了信息获取和权力之间的有价值的妥协.
  • 这些间隔可以代替最初的多重测试,提供强大的家庭智能错误率控制.
  • 该方法适用于图形测试程序,增强其可解释性和实用性.