External data mapping and prediction
Reproduce predictors and generate predictions
Generate predictions from the original specification before any local updating. Missing required inputs and altered measurements are applicability problems to document, not permission to quietly refit the model.
Flow diagram
Steps
Map required predictors
Reproduce model inputs, coding and transformations exactly where possible.
Align outcome and horizon
Document ascertainment, follow-up and censoring differences.
Resolve unavailable inputs
Prespecify missingness and mapping decisions without refitting the original model.
Generate frozen-model predictions
Record artifact version, preprocessing and prediction implementation checks.
Retain reproducible evaluation inputs
Separate original predictions from any later recalibrated predictions.
External data mapping and prediction
End flow
Tables and supporting information
Validation mapping register
Trace all deviations; do not silently substitute different predictors.
Assumptions and rationale
Refitting or recalibrating before evaluating changes the model and no longer evaluates the untouched original.
Method and protocol evidence
Attach the protocol, methodological sources and versioned software specification supporting these decisions. Record citations and provenance; do not enter participant identifiers.