Detail the study design and the source of data used for both development and validation.
Developing a report for a predictor—whether it's a statistical model, a machine learning algorithm, or a business tool—requires a structured approach to ensure transparency, validity, and usefulness. predictor
: Describe recruitment methods, inclusion/exclusion criteria, and the setting. Detail the study design and the source of
Present the full or final model, including univariable and multivariable predictor-outcome effects. a machine learning algorithm
: Clearly define each predictor variable to ensure reproducibility and explain how they were coded.