通过应用具有显示遗漏对象的决策分析模型 (DAMWOOD) 来提高决策模型的透明度
Jeff Round1,2, Erin Kirwin3,4, Sasha van Katwyk3,5
1Institute of Health Economics, Edmonton, Canada. jround@ihe.ca.
PharmacoEconomics
|August 7, 2024
概括
我们推出DAMWOOD,这是一个框架,通过清楚地显示遗漏的元素来提高决策模型的透明度. 这增强了建模者和利益相关者之间的沟通,以改善公共政策.
科学领域:
- 决策分析 决策分析
- 流行病学建模的流行病学建模.
- 公共政策公共政策.
背景情况:
- COVID-19大流行突显了决策模型在公共政策中的关键作用.
- 加强审查需要提高决策模式的透明度和合理性.
- 模型开发人员和决策者之间的有效沟通对于信任至关重要.
研究的目的:
- 为提高决策模式的沟通和透明度提供工具.
- 为了引入决策分析模型与遗漏对象显示 (DAMWOOD) 方法.
- 为利益相关者解决决策问题范围和模型透明度定义的挑战.
主要方法:
- 扩展指向循环图与遗漏对象显示 (DAGWOOD) 方法的决策分析模型.
- 开发DAMWOOD框架,用于识别和分类遗漏的对象 (排除,误导,结构).
- 将DAMWOOD应用于COVID-19疫苗分配优化模型中的应用.
主要成果:
- DAMWOOD提供了一种结构化的方法来识别和传达决策模型中遗漏的元素.
- DAMWOOD图形可视化地表示遗漏的结果及其对模型结果的潜在影响.
- 这种方法促进了对模型假设和结构的更清晰的沟通.
结论:
- 达姆伍德提高了公共政策中使用的决策模式的透明度和信任.
- 该框架改善了建模者,决策者和利益相关者之间的沟通.
- DAMWOOD对于制定决策问题,沟通模型细节和吸引利益相关者是有用的.
更多相关视频
07:05Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
6.0K
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
12.9K
相关概念视频
01:09Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
01:14Decision 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...
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
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
47
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
47
01:20Decision Making
101
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...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
101
01:26Modeling in Therapy
61
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
61
01:26Pharmacokinetic Models: Comparison and Selection Criterion
52
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
52