Related Experiment Video
Updated: Jan 23, 2026

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
Published on: March 2, 2011
Transparency in Decision Modelling: What, Why, Who and How?
Christopher James Sampson1, Renée Arnold2, Stirling Bryan3
1Office of Health Economics, 7th Floor, Southside, 105 Victoria Street, London, SW1E 6QT, UK. csampson@ohe.org.
Transparency in decision modelling requires a clearer definition. This article explores various forms of transparency, stakeholder roles, and implementation strategies for better understanding and adoption in health technology assessment.
Area of Science:
- Health Economics
- Decision Science
- Health Technology Assessment
Background:
- Transparency in decision modelling is increasingly discussed, moving beyond reporting standards to open-source implementations.
- A lack of clear definition hinders the debate on the advantages and disadvantages of greater transparency.
Purpose of the Study:
- To provide a nuanced understanding of transparency in decision modelling.
- To explore how transparency can be addressed and implemented.
Main Methods:
- Review and summarization of existing discourse on transparency.
- Development of a taxonomy of transparency manifestations (e.g., reporting standards, open-source modelling).
- Mapping of stakeholder roles, incentives, advantages, disadvantages, barriers, and facilitators.
Main Results:
- A taxonomy of transparency manifestations is outlined, including reporting standards, reference models, collaboration, model registration, peer review, and open-source modelling.
- The roles and incentives of various stakeholders (industry, research, publishers, decision-makers) are mapped.
- Anticipated advantages, disadvantages, barriers, and facilitators for each manifestation are discussed concerning stakeholders and practical issues.
Conclusions:
- A clear understanding of 'what', 'why', 'who', and 'how' for each transparency manifestation is crucial for community adoption.
- Current initiatives demonstrate ongoing efforts to improve transparency in decision modelling.
- Addressing issues like intellectual property, legality, standards, and stakeholder engagement is key to realizing transparency objectives.
Related Concept Videos
Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: P-value Method
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...
Decision Making: Traditional Method
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...
Molecular Models
The Bohr Model
Stereotype Content Model

