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Inclusion Probabilities and Dropout
Authors:James M Curran MSc  PhD  John Buckleton PhD
Institution:1. University of Auckland—Statistics, Private Bag 92019 Auckland, Auckland 1142, New Zealand.;2. ESR—Forensics, Private Bag 92021, Auckland, New Zealand.
Abstract:Abstract: Recent discussions on a forensic discussion group highlighted the prevalence of a practice in the application of inclusion probabilities when dropout is possible that is of significant concern. In such cases, there appears to be an unpublished practice of calculation of an inclusion probability only for those loci at which the profile of interest (hereafter the suspect) is fully included among the alleles present in the crime scene sample and to omit those loci at which the suspect has alleles that are not fully represented among the alleles in the mixture. The danger is that this approach may produce apparently strong evidence against a surprisingly large fraction of noncontributors. In this paper, the risk associated with the approach of ignoring loci with discordant alleles is assessed by simulation.
Keywords:forensic science  dropout  inclusion probability  exclusion probability  RMNE  likelihood ratio  mixtures
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