Literature DB >> 25702879

p-values should not be used for evaluating the strength of DNA evidence.

Maarten Kruijver1, Ronald Meester2, Klaas Slooten3.   

Abstract

Recently, p-values have been suggested to explain the strength of a likelihood ratio that evaluates DNA evidence. It has been argued that likelihood ratios would be difficult to explain in court and that p-values would offer an alternative that is easily explained. In this article, we argue that p-values should not be used in this context. p-Values do not directly relate to the strength of the evidence. The likelihood ratio measures the strength of the evidence, while the p-value measures how rare it is to find evidence that is equally strong or stronger, which is something fundamentally different. In addition, a p-value is not always unambiguous. To illustrate our arguments, we present several examples from forensic genetics.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Kinship; Likelihood ratios; Mixtures; Weight of evidence; p-Values

Mesh:

Substances:

Year:  2015        PMID: 25702879     DOI: 10.1016/j.fsigen.2015.01.005

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  3 in total

1.  Exclusion probabilities and likelihood ratios with applications to mixtures.

Authors:  Klaas-Jan Slooten; Thore Egeland
Journal:  Int J Legal Med       Date:  2015-07-10       Impact factor: 2.686

2.  Four model variants within a continuous forensic DNA mixture interpretation framework: Effects on evidential inference and reporting.

Authors:  Harish Swaminathan; Muhammad O Qureshi; Catherine M Grgicak; Ken Duffy; Desmond S Lun
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

Review 3.  A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™.

Authors:  Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor
Journal:  Genes (Basel)       Date:  2021-09-30       Impact factor: 4.096

  3 in total

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