In Press: A sensitivity analysis to determine the robustness of STRmix™ with respect to laboratory calibration

Authors:

Hannah Kelly, Jo-Anne Bright, Maarten Kruijver, Stuart Cooper, Duncan Taylor, Kyle Duke, Melissa Strong, Vickie Beamer, Christina Buettner, and John Buckleton.

Abstract:

STRmix™ uses several laboratory specific parameters to calibrate the stochastic model for peak heights. These are modelled on empirical observations specific to the instruments and protocol used in the analysis. The extent to which these parameters can be borrowed from laboratories with similar technology and protocols without affecting the accuracy of the system is investigated using a sensitivity analysis. Parameters are first calibrated to a publicly available dataset, after which a large number of likelihood ratios are computed for true contributors and non-contributors using both the calibrated parameters and several borrowed parameters. Differences in the LR caused by using different sets of parameter values are found to be negligible.

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