A data-driven approach for the detection of internal standard outliers in targeted LC-MS/MS assays

Highlights • Identifying internal standard outliers in clinical mass spectrometry assays is imperative.• Current approaches for identifying outliers are arbitrary and do not account for assay drift.• A robust modelling strategy allows laboratories to define their own acceptance criteria from their own data.• This strategy is easily implemented and the code is freely available.

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