PBRTQC dry lab: Monte Carlo simulation code and datasets for a patient-based real-time quality control selection map
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资源简介：
Monte Carlo simulation code and outputs from the PBRTQC dry-lab study: two-layer data model (biological and analytical variation), injected systematic, random and intermittent errors scaled to ΔSEc, walk-forward selection and validation, stress tests, a dimensionless feature-space selection map, comparison with internal quality control (IQC), a cost model, and repeat-patient-testing strategies for laboratories without commercial IQC. No patient data are included.
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Zenodo创建时间：
2026-09-29
