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Updated: Jun 30, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
From data to a validated score-based LR system: A practitioner's guide
Anna Jeannette Leegwater1, Peter Vergeer1, Ivo Alberink1
1Netherlands Forensic Institute, PO Box 24044, The Hague 2490 AA, the Netherlands.
Abstract:
Likelihood ratios (LRs) are a useful measure of evidential strength. In forensic casework consisting of a flow of cases with essentially the same question and the same analysis method, it is feasible to construct an 'LR system', that is, an automated procedure that has the observations as input and an LR as output. This paper is aimed at practitioners interested in building their own LR systems. It gives an overview of the different steps needed to get to a validated LR system from data. The paper is accompanied by a notebook that illustrates each step with an example using glass data. The notebook introduces open-source software in Python constructed by NFI (Netherlands Forensic Institute) data scientists and statisticians.
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