@article{ref1,
title="Making decisions in missing person identification cases with low statistical power",
journal="Forensic science international: genetics",
year="2021",
author="Marsico, Franco L. and Vigeland, Magnus D. and Egeland, Thore and Piñero, Mariana Herrera",
volume="54",
number="",
pages="102519-102519",
abstract="The present work proposes a general strategy for dealing with missing person identification cases through DNA-database search. Our main example is the identification of abducted children in the last civic-dictatorship of Argentina, known as the &quot;Missing Grandchildren of Argentina&quot;. Particularly we focus on those pedigrees where few, or only distant relatives of the missing person are available, resulting in low statistical power. For such complex cases we provide a statistical method for selecting a likelihood ratio (LR) threshold for each pedigree based on error rates. Furthermore, we provide an open-source user friendly software for computing LR thresholds and error rates. The strategy described in the paper could be applied to other large-scale cases of DNA-based identification hampered by low statistical power.<p /> <p>Language: en</p>",
language="en",
issn="1872-4973",
doi="10.1016/j.fsigen.2021.102519",
url="http://dx.doi.org/10.1016/j.fsigen.2021.102519"
}