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Table 1 The initial 26 proposed rules of good practice surveyed within the Committee

From: Credible practice of modeling and simulation in healthcare: ten rules from a multidisciplinary perspective

Use version control Use credible solvers Explicitly list your limitations
Report appropriately Document your code Provide examples of use
Practice what you preach Develop with the end user in mind Attempt validation within context
Follow discipline-specific guidelines Attempt verification within context Attempt uncertainty (error) estimation
Make sure your results are reproducible Define your evaluation metrics in advance Conform to discipline-specific standards
Be a discipline-independent/ specific example Learn from discipline-independent examples Use appropriate data (input, validation, verification)
Define the context the model is intended to be used for Perform appropriate level of sensitivity analysis within context of use Use consistent terminology or define your terminology
Get it reviewed by independent users/developers/members Provide user instructions whenever possible and applicable Use traceable data that can be traced back to the origin
Disseminate whenever possible (source code, test suite, data, etc.) Use competition of multiple implementations to check and balance each other