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

Monday, 30 April 2018

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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