: Describe recruitment methods, inclusion/exclusion criteria, and the setting.
: Explain how candidate predictors were selected, such as through a literature review or statistical methods like backward selection. 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. Detail the study design and the source of
Detail the study design and the source of data used for both development and validation. Model Development and Results State the medical or
: Report how much data was missing and the specific procedures used to handle it. 3. Model Development and Results
State the medical or business context and the rationale for developing the multivariable prediction model. Clearly define the target population and the specific outcome being predicted. 2. Methodology
: Clearly define each predictor variable to ensure reproducibility and explain how they were coded.