Prediction development population and suitability
Define development population and sources
Prediction time is the moment the model would be used. Sample-size planning depends on outcome frequency, candidate parameter count and expected performance; a universal events-per-variable rule is insufficient.
Flow diagram
Steps
Define intended use
Specify users, setting, decision and prediction horizon.
Identify development sources
Document sampling, sites, dates and representativeness.
Align eligibility and prediction time
Include people whose predictors would be available when predictions are made.
Assess sample-size adequacy
Justify sample size using outcome frequency, candidate parameter count and anticipated performance, including overfitting and precision. Do not rely on a universal ten-events-per-variable rule.
Define development dataset
Record exclusions, missingness, clustering and limits of intended applicability.
Prediction development population and suitability
End flow
Tables and supporting information
Development suitability
Do not use a universal events-per-variable rule as the sole sample-size justification.
Assumptions and rationale
Development data must reflect intended prediction conditions; sample size should support complexity and performance estimation.
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.