: Report how much data was missing and the specific procedures used to handle it. 3. Model Development and Results
: Clearly define each predictor variable to ensure reproducibility and explain how they were coded. predictor
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 : Report how much data was missing and
Detail the study design and the source of data used for both development and validation. predictor
: Explain how candidate predictors were selected, such as through a literature review or statistical methods like backward selection.