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

•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.