Predictor Info

: Explain how candidate predictors were selected, such as through a literature review or statistical methods like backward selection.

Present the full or final model, including univariable and multivariable predictor-outcome effects. predictor

: 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

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 predictor