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相关概念视频

Relative Risk01:12

Relative Risk

1.8K
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...
1.8K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

382
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,...
382
Framing Effects03:26

Framing Effects

7.8K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.8K
Classification of Systems-II01:31

Classification of Systems-II

446
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
446
Classification of Systems-I01:26

Classification of Systems-I

540
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
540
Contingency Table01:29

Contingency Table

3.8K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
3.8K

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Aligning Uncertainty and Ambiguity in Decision Analysis With Contemporary Risk Conceptualizations: Insights From the Ellsberg Paradox and Related Concepts.

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An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

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在风险背景下对竞争性叙述的分类系统

Shital Thekdi1, Terje Aven2

  • 1University of Richmond, Richmond, Virginia, USA.

Risk analysis : an official publication of the Society for Risk Analysis
|December 5, 2025
PubMed
概括

了解叙述,包括错误信息和偏见,对于风险研究完整性至关重要. 分类这些叙述可以改善分析师,决策者和沟通者的风险感知和研究设计.

科学领域:

  • 风险分析 风险分析
  • 科学传播是科学传播.
  • 认知科学是一种认知科学.

背景情况:

  • 风险研究可能受到错误信息,偏见和社会动态的影响,称为叙述.
  • 这些叙述影响感知到的科学真理,风险问题和价值观,影响整体风险感知和研究质量.
  • 了解这些叙述对于有效的风险评估和沟通至关重要.

研究的目的:

  • 开发一个分类系统,用于分析风险研究中的叙述.
  • 了解叙述如何影响风险感知和风险研究的质量.
  • 通过解决有影响力的叙述,为风险研究的设计和实施提供信息.

主要方法:

  • 关于风险研究中的错误信息,偏见和叙述的文献评论.
  • 开发一个叙事分类系统.
  • 分析叙述如何影响风险感知和利益相关者的评估.

主要成果:

  • 叙述,包括关注和价值,是风险研究的组成部分.
  • 叙事既可以挑战科学客观性,也可以阐明所感知的真理和价值观.
  • 一个分类系统可以帮助识别和管理影响风险感知的叙述.
关键词:
错误的信息 错误的信息风险分析 风险分析风险沟通风险沟通是什么

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相关实验视频

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An R-Based Landscape Validation of a Competing Risk Model

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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

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结论:

  • 分类叙述提供了改善风险研究设计和实施的证据.
  • 解决叙事增强了对风险感知和研究质量的理解.
  • 这项工作对风险分析师,政策制定者和风险沟通者来说是有价值的.