Teil A · Synthetic Control aus historischem EDC
DT-ONC-NSCLC-501 · Phase 3 · endpoint: PFS at Week 24
prototype 05
Historische EDC-Daten fuer Synthetic Control nutzen, Kontrollarmgroesse reduzieren und ProCOVA-aehnliche Sample-Size-Reduktion demonstrieren.
DT-ONC-NSCLC-501 · Phase 3 · endpoint: PFS at Week 24
Historical source: EDC · trials ONC-NSCLC-214, ONC-NSCLC-198, ONC-LU-177 · patients 1280.
Synthetic control ESS = historicalPatients × borrowingRatio × matchQuality × calibrationFactor.
Recommended observed control N = base control N - 0.6 × borrowed ESS (floored for minimum operational control).
ProCOVA-style reduction assumes covariate-adjusted variance: sigma_adj = sigma × sqrt(1 - R^2).
n_classic = 2 * (Zalpha/2 + Zbeta)^2 * sigma^2 / delta^2
n_procova = 2 * (Zalpha/2 + Zbeta)^2 * sigma_adj^2 / delta^2
update log
2026-03-01 · v0.1.0
Synthetic-Control + ProCOVA-Demo hinzugefuegt