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

Hazard Rate01:11

Hazard Rate

104
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
104
Hazard Ratio01:12

Hazard Ratio

118
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
118
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

424
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
424
Odds Ratio01:09

Odds Ratio

135
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
135
Applications of Normal Distribution01:22

Applications of Normal Distribution

5.0K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
5.0K

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

A robust estimation method for the linear regression model parameters with correlated error terms and outliers.

Journal of applied statistics·2022
Same author

Characteristics of Occupational Injuries in a Pharmaceutical Company in Iran.

Bulletin of emergency and trauma·2018
查看所有相关文章

相关实验视频

Updated: Jun 29, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K

当测量误差具有正常或逻辑分布时,危险率估计.

Parviz Nasiri1, Rougheih Kheirazar1, Abbas Rasouli2

  • 1Department of Statistics, University of Payam Noor, 19395-4697, Tehran, Iran.

Heliyon
|March 25, 2024
PubMed
概括

统计数据中的测量错误会降低数据的准确性. 本研究估计了危险率函数,对于可靠性至关重要,即使从正常或逻辑分布的测量误差,使用高级的多项式估计方法.

关键词:
带宽 带宽 带宽 带宽核密度估计核密度的估计.生命周期数据 生命周期数据物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流分销物流平均平方误差 平均平方误差

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
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.6K

相关实验视频

Last Updated: Jun 29, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K
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
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.6K

科学领域:

  • 统计 统计 统计 统计
  • 可靠性工程可靠性工程
  • 数据分析 数据分析

背景情况:

  • 科学数据中普遍存在测量错误,影响了统计分析的准确性.
  • 忽视测量错误导致分布参数估计器的适合性不佳.
  • 危险率函数是可靠性分析中的关键指标.

研究的目的:

  • 在存在测量错误时调查危险率函数.
  • 为了解决统计建模中忽视测量错误造成的精度限制.
  • 开发用于估计数据污染下危险率函数的方法.

主要方法:

  • 使用局部时间多项式估计器方法来估计密度函数.
  • 根据正常或后勤分布的测量误差,估计了危险率函数.
  • 分析了污染程度 (15%和30%) 对估计的影响.

主要成果:

  • 开发了一种准确的方法来估计危险率函数,尽管有测量错误.
  • 证明了当地时间多项式估计器在处理受污染数据方面的有效性.
  • 数字分析证实了拟议的估计技术的性能.

结论:

  • 准确的危险率估计是可以实现的,即使在统计数据的测量错误.
  • 拟议的方法提供可靠的估计可靠性标准在数据污染.
  • 这项研究为各种领域的科学数据分析提供了改进的统计工具.