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Different likelihood ratio approaches to evaluate the strength of evidence of MDMA tablet comparisons by Annabel Bolck; Céline Weyermann; Laurence Dujourdy; Pierre Esseiva; Jorrit van den Berg is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Different likelihood ratio approaches to evaluate the strength of evidence of MDMA tablet comparisons about?
Two likelihood ratio (LR) approaches are presented to evaluate the strength of evidence of MDMA tablet comparisons. The first one is based on a more ‘traditional’ comparison of MDMA tablets by using distance measures (e.g., Pearson correlation distance or a Euclidean distance). In this approach, LRs are calculated using the distribution of distances between tablets of the same-batch and that of different-batches. The second approach is based on methods used in some other fields of forensic comparison. Here LRs are calculated based on the distribution of values of MDMA tablet characteristics within a specific batch and from all batches. The data used in this paper must be seen as examples to illustrate both methods. In future research the methods can be applied to other and more complex data. In this paper, the methods and their results are discussed, considering their performance in evidence evaluation and several practical aspects. With respect to evidence in favor of the correct hypothesis, the second method proved to be better than the first one. It is shown that the LRs in same-batch comparisons are generally higher compared to the first method and the LRs in different-batch co
Who reads Different likelihood ratio approaches to evaluate the strength of evidence of MDMA tablet comparisons?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Annabel Bolck; Céline Weyermann; Laurence Dujourdy; Pierre Esseiva; Jorrit van den Berg
- Publisher
- Elsevier BV
- Published
- 2009
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)