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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

407
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
407
Hazard Ratio01:12

Hazard Ratio

561
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...
561
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

561
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
561
Relative Risk01:12

Relative Risk

2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

861
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
861
The X̄ Chart00:58

The X̄ Chart

447
The  x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
447

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

Evaluating the PANSS using item response theory in forensic psychiatric samples from five European nations.

Schizophrenia (Heidelberg, Germany)·2025
Same author

Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models-An in-Depth Investigation and Bias Correction.

Applied psychological measurement·2024
Same author

Needs of forensic psychiatric patients with schizophrenia in five European countries.

Social psychiatry and psychiatric epidemiology·2022
Same author

Game-Theoretic Decision Support for Cyber Forensic Investigations.

Sensors (Basel, Switzerland)·2021
Same author

Password Security as a Game of Entropies.

Entropy (Basel, Switzerland)·2020
Same author

Sampling and weighting of the Austrian Psychiatric Prevalence Survey (APPS).

Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater·2019

相关实验视频

Updated: Jan 17, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.5K

传统风险矩阵与图形风险矩阵的比较:医疗保健中的案例研究

Albert Kutej1, Stefan Rass2, Rainer W Alexandrowicz3

  • 1University of Klagenfurt, Klagenfurt, Austria.

Risk analysis : an official publication of the Society for Risk Analysis
|September 21, 2025
PubMed
概括

本研究将传统风险矩阵与医疗风险评估的新图形方法进行比较. 图形方法更好地捕捉不确定性,导致关键系统中更细致的决策.

关键词:
关键基础设施关键基础设施图形风险评估 图形风险评估医疗保健 医疗保健 医疗保健 医疗保健进行定性风险分析.风险评估 风险评估 风险评估不确定性是一种不确定性.

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

10.8K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

相关实验视频

Last Updated: Jan 17, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.5K
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

10.8K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

科学领域:

  • 决策科学 决策科学 决策科学
  • 风险管理 风险管理
  • 医疗保健系统工程 系统工程

背景情况:

  • 风险和机会评估对于医疗保健和关键基础设施等复杂系统的决策至关重要.
  • 传统的风险矩阵往往无法明确表示不确定性,这是定性评估的关键局限性.

研究的目的:

  • 实证地比较传统的风险矩阵与可视化不确定性的图形方法.
  • 评估明确表示不确定性如何影响医疗保健环境中的风险评估.

主要方法:

  • 对医疗保健专业人员进行了全面的调查.
  • 参与者使用传统风险矩阵和新型图形方法评估了相同的风险场景.
  • 该研究分析了估计的差异,特别是概率,以及专业群体之间的差异.

主要成果:

  • 与风险矩阵相比,图形方法产生了系统不同的结果,特别是在概率估计方面.
  • 在不同职业群体和基础设施经验水平之间观察到评估的显著差异.
  • 明确地想象不确定性导致了更细致的风险感知.

结论:

  • 明确表达不确定性可以提高定性风险评估的透明度和细节性.
  • 图形方法在高风险环境中提供了对传统决策工具的潜在改进.
  • 这种方法可以促进在关键领域更具反射性和差异化的决策.