Cooking Up a Transparent Model Following a DICE Recipe

Model development often evolves through iterative refinement. Existing models may become complex over time, yet they require transparency for high-stakes decisions. Traditional approaches lack adaptability when updates are needed. Prior research has shown that model transparency is crucial for validation and stakeholder trust. No prior work had resolved how to maintain clarity during iterative changes. This gap motivated the search for a structured, adaptable modeling framework. Researchers have explored various modeling platforms, but none fully addressed the need for flexibility and transparency. The challenge remains to find a method that supports both model updates and readability.

The study aimed to introduce a modeling framework that maintains transparency during iterative updates. It sought to address the challenge of adapting models without sacrificing clarity. The focus was on developing a method that supports diverse modeling types. The goal was to create a standardized structure for model documentation. The approach needed to be accessible across platforms and disciplines. It aimed to simplify model comparisons and reviews. The framework had to allow for easy ingredient additions and modifications. The ultimate purpose was to support decision-making in health economics and beyond.

The DICE method was developed by adapting the structure of cooking recipes. It uses Excel as a common platform for model documentation. The process begins with a list of model 'ingredients' or conditions. Each step is documented in a structured format similar to recipe instructions. The method supports multiple modeling types including Markov and discrete-event simulations. It allows for iterative additions and modifications to the model components. The approach ensures that each model step is clearly defined and traceable. The structure facilitates model comparisons and transparency in updates.

The DICE method provides a transparent and flexible framework for model development. It allows for iterative updates without compromising readability. The method supports multiple modeling types within a single structure. Model components are clearly listed and organized like recipe ingredients. The approach simplifies the documentation of complex modeling processes. It enables easy comparison between different models and their variations. The structure supports both detailed and high-level model representations. The method has been applied successfully in health economics and decision science.

The DICE method offers a structured approach to model development that maintains transparency. It supports iterative updates and diverse modeling types within a single framework. The method's structure is inspired by common recipe formats, making it intuitive. The use of Excel enhances accessibility and compatibility across platforms. The approach facilitates model comparisons and documentation. It allows for easy modifications and additions to model components. The method has been applied successfully in health economics and decision science. The findings suggest that DICE can improve model transparency and adaptability.