A previous study examining calibration and discrimination performance highlighted the need for caution when interpreting "low" likelihood ratios (LRs) derived from maximum likelihood estimate-based models DNAStatistX and EuroForMix [1]. The study reported that calibration performance was dependent on the dataset, dataset size and the subpopulation correction factor (Fst). In the worst case scenario (smallest dataset and Fst 0.
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