: Explain how candidate predictors were selected, such as through a literature review or statistical methods like backward selection.
Detail the study design and the source of data used for both development and validation.
A standard report for a prediction model should follow these essential steps: 1. Introduction and Objectives predictor
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.
: Report how much data was missing and the specific procedures used to handle it. 3. Model Development and Results : Explain how candidate predictors were selected, such
Present the full or final model, including univariable and multivariable predictor-outcome effects.
: Clearly define each predictor variable to ensure reproducibility and explain how they were coded. Introduction and Objectives Developing a report for a
: Describe recruitment methods, inclusion/exclusion criteria, and the setting.