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

Decision Making01:20

Decision Making

133
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
133
Reason and Intuition01:37

Reason and Intuition

6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

27.9K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
27.9K
Parallel Processing01:20

Parallel Processing

173
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
173
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

80
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
80

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

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026
Same author

Linking Minimally Important Differences (MID) and Acceptable Regret to Elicit Values and Preferences in Health Decision Models.

Journal of evaluation in clinical practice·2026
Same author

How to determine the optimal duration of anticoagulation for VTE: an evidence-based decision-analytical approach.

Blood advances·2026
Same author

GRADE Guidance: Update on Developing Good Practice Statements in Guidelines.

Annals of internal medicine·2026
Same author

Theory of clinical therapeutic progress: reconciling equipoise with fat-tailed (skewed) outcomes.

Journal of clinical epidemiology·2025
Same author

Converting Evidence-Based Summary of Findings Evidence Tables Into Decision Analytical, Quality Adjusted Life Years (QALY) and Life Expectancies Metrics: A Tutorial.

Journal of evaluation in clinical practice·2025

相关实验视频

Updated: Jul 15, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.4K

混合和双处理值决策模型

Benjamin Djulbegovic1, Iztok Hozo2

  • 1Hematology Stewardship Program, Division of Hematology/Oncology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. djulbegov@musc.edu.

Cancer treatment and research
|October 3, 2023
PubMed
概括
此摘要是机器生成的。

这项研究探讨了疾病结果的门模型. 研究人员以前仅仅使用死亡率或发病率,但新的方法将两者结合起来进行全面的值计算.

更多相关视频

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

相关实验视频

Last Updated: Jul 15, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.4K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

科学领域:

  • 卫生经济学 卫生经济学
  • 流行病学 流行病学
  • 决策分析 决策分析

背景情况:

  • 门模型对于理解疾病影响和指导干预至关重要.
  • 以前的模型主要集中在单一疾病的结果上,例如死亡率或发病率.
  • 在整体值评估中整合多种结果指标方面存在差距.

研究的目的:

  • 呈现和分析值模型的各种导数.
  • 调查结合使用死亡率和发病率结局在值的确定.
  • 通过结合多方面的疾病影响,建立在现有的门模型框架之上.

主要方法:

  • 审查和综合现有的值模型衍生.
  • 基于单一疾病和综合疾病结局的模型的比较分析.
  • 对Basingha和van den Ende的值计算方法进行检查.

主要成果:

  • 既定的门模型通常依赖于死亡率或发病率数据.
  • 巴辛加和范登恩德的衍生成功地整合了死亡率和发病率.
  • 结合结果为公共卫生中的决策提供了更全面的基础.

结论:

  • 门模型是卫生经济学和流行病学中必不可少的工具.
  • 整合各种疾病结果,如死亡率和发病率,提高了值模型的实用性.
  • 综合方法为公共卫生决策提供了更强大的框架.