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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
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.3K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.3K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

292
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
292
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.6K
VSEPR Theory for Determination of Electron Pair Geometries
45.6K
Frequency-dependent Selection01:21

Frequency-dependent Selection

23.3K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Prediction Intervals01:03

Prediction Intervals

3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.3K

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相关实验视频

Updated: Jan 25, 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

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在预测风险承担频率时,一般风险偏好不足.

Maja Asp1, Marielle Abed1, Philip Millroth2

  • 1Department of Psychology, Uppsala University, P.O. Box 1225, Uppsala, SE-751 42, Sweden.

Scientific reports
|January 23, 2026
PubMed
概括

冲动性,寻找感觉和性别显著预测人们经常冒险的频率. 一般的风险偏好对于理解现实生活中的冒险行为可能不如以前想象的那么重要.

科学领域:

  • 心理学 心理学 心理学
  • 行为经济学是一种行为经济学.

背景情况:

  • 风险承担在各种人类活动中普遍存在,包括金融,犯罪和健康决策.
  • 自我报告的风险偏好传统上是预测冒险行为的核心.
  • 其他因素,如人口统计学,个性和心理特征也涉及,但对预测能力的研究较少.

研究的目的:

  • 确定现实生活中风险承担频率的关键预测因素.
  • 评估各种个别差异变量的相对重要性.

主要方法:

  • 调查了760名受访者关于他们参与冒险行为.
  • 收集了关于自我报告的风险偏好,冲动性,寻找感觉,个性特征和人口统计数据的数据.
  • 采用贝叶斯的多模型推理来进行预测分析.

主要成果:

  • 冲动性,寻找感觉,健康和社会风险偏好以及性别是风险承担频率的最强有力的预测因素.
  • 这些因素的总和提供了一个比单独的一般风险偏好更强大的预测.

结论:

  • 预测现实生活中的风险承担频率需要同时检查多个变量.
  • 在现有理论中,一般风险偏好概念的核心作用可能需要重新评估.
关键词:
性别 性别 性别 性别冲动性是一种冲动性.偏好 偏好 偏好 偏好承担风险 承担风险感觉寻找寻找的感觉

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