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You searched for subject:(Forensic Evidence Evaluation). Showing records 1 – 2 of 2 total matches.

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1. Haned, Hinda. Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures.

Degree: Docteur es, Science forensique, 2010, Université Claude Bernard – Lyon I

L’analyse et l’interprétation d’´echantillons constitu´es de mélanges d’ADN de plusieurs individus est un défi majeur en science forensique. Lorsqu’un expert de la police scientifique a affaire à un mélange d’ADN il doit répondre à deux questions: d’abord, “combien de contributeurs y a-t-il dans ce mélange ?”et puis, “quels sont les génotypes des individus impliqués ?” Le typage seul de cet ADN ne permet pas toujours de r´epondre `a ces questions. En effet leproblème est posé d`es lors que plus de deux allèles sont observées à un locus donné, plusieurscombinaisons génotypiques sont alors `a envisager et il est impossible de déterminer avec certitudele nombre d’individus qui ont contribué au m´elange. De plus, la présence d’anomalies liées àl’analyse de marqueurs g´en´etiques, comme la contamination ou la perte d’all`eles (“drop-out”),peut davantage compliquer l’analyse.Les nombreux d´eveloppements statistiques d´edi´es `a ces probl´ematiques n’ont pas eu le succ`esescompt´e dans la communaut´e forensique, essentiellement, parce que ces m´ethodes n’ont pas ´et´evalid´ees. Or sans cette validation, les experts de la police scientifique ne peuvent exploiter cesm´ethodes sur des m´elanges issus d’affaires en cours d’investigation.Avant d’ˆetre valid´ees, ces m´ethodes doivent passer par une rigoureuse ´etape d’´evaluation.Cette derni`ere soul`eve deux questions: d’abord, la question de la m´ethodologie `a adopter, puis,celle des outils `a d´eployer. Dans cette th`ese, nous tentons de r´epondre aux deux questions.D’abord, nous menons des ´etudes d’´evaluation sur des m´ethodes d´edi´ees `a deux questions cl´es: i)l’estimation du nombre de contributeurs `a un m´elange d’ADN et ii) l’estimation des probabilit´esde “drop-out”. En second lieu, nous proposons un logiciel “open-source” qui offre un certainnombre de fonctionnalit´es permettant de faciliter l’´evaluation de m´ethodes statistiques d´edi´eesaux m´elanges d’ADN.Cette thèse a pour but d’apporter une r´eponse concr`ete aux experts de la police scientifiqueen leur fournissant `a la fois une d´emarche m´ethodologique pour l’´evaluation de m´ethodes, et lapossibilit´e d’analyser la sensibilit´e de leurs r´esultats au travers d’un outil informatique en libreacc`es.

Analysis of forensic DNA mixtures recovered from crime scenes is one of the most challengingtasks in forensic science. DNA mixture raise two main questions: “how many contributors arethere” and “what are the genotypes of the contributing individuals?” The genetic characterizationalone of such samples does not always answer these questions. In fact, whenever more thantwo alleles are observed at a given locus, several distinct genotypic combinations are plausiblefor the unknown contributors to the sample, and it is not possible to determine the number ofthese contributors with absolute certainty. Besides, the presence of anomalies related to DNAtyping techniques, such as contamination or allele loss (drop-out), can further complicate theanalysis.Numerous statistical developments facilitating DNA mixtures…

Advisors/Committee Members: Pontier, Dominique (thesis director), Pène, Laurent (thesis director), Sauvage, Frank Yves (thesis director).

Subjects/Keywords: Police scientifique; Preuve ADN; Mélange ADN; Erreur de génotypage; Évaluation de méthodes; Subdivision populationnelle; Simulations; Forensic science; DNA evidence; DNA mixture; Genotyping error; Method evaluation; Population subdivision; Simulations; 570

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haned, H. (2010). Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2010LYO10231

Chicago Manual of Style (16th Edition):

Haned, Hinda. “Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures.” 2010. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed July 10, 2020. http://www.theses.fr/2010LYO10231.

MLA Handbook (7th Edition):

Haned, Hinda. “Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures.” 2010. Web. 10 Jul 2020.

Vancouver:

Haned H. Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2010. [cited 2020 Jul 10]. Available from: http://www.theses.fr/2010LYO10231.

Council of Science Editors:

Haned H. Évaluation de méthodes statistiques pour l'interprétation des mélanges d'ADN en science forensique : Evaluation of statistical methods for the analysis of forensic DNA mixtures. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2010. Available from: http://www.theses.fr/2010LYO10231

2. Haraksim, Rudolf. Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints.

Degree: 2014, University of Twente

In this chapter the Likelihood Ratio (LR) inference model will be introduced, the theoretical aspects of probabilities will be discussed and the validation framework for LR methods used for forensic evidence evaluation will be presented. Prior to introducing the validation framework, following questions will be addressed: “which aspects of a forensic evaluation scenario need to be validated?‿, “what is the role of the LR as part of a decision process?‿ and “how to deal with uncertainty in the LR calculation?‿ The answers to these questions are necessary to define the validation strategy based on the validation criteria. The questions: “what to validate?‿ focusing on defining validation criteria and methods, and “how to validate?‿ dealing with the implementation of a validation protocol, form the core of this chapter. The validation framework described can be used to provide assistance to the forensic practitioners, when determining the suitability and applicability of the LR method developed in the forensic practice by introducing performance characteristics, performance metrics, validation criteria and the decision thresholds. This chapter will start with the introduction of the LR inference model, followed by the validation framework proposed. Advisors/Committee Members: Meuwly, Didier, Veldhuis, Raymond N.J., Meuwly, Didier.

Subjects/Keywords: IR-91812; EWI-25056; EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008; Validation; SCS-Safety; METIS-305078; Fingerprints; Forensic Evidence Evaluation; Ratio Methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haraksim, R. (2014). Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints. (Doctoral Dissertation). University of Twente. Retrieved from https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html ; urn:nbn:nl:ui:28-91812 ; 576d6173-c521-4630-be58-2739f2221801 ; 10.3990/1.9789036536486 ; urn:isbn:978-90-365-3648-6 ; urn:nbn:nl:ui:28-91812 ; https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html

Chicago Manual of Style (16th Edition):

Haraksim, Rudolf. “Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints.” 2014. Doctoral Dissertation, University of Twente. Accessed July 10, 2020. https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html ; urn:nbn:nl:ui:28-91812 ; 576d6173-c521-4630-be58-2739f2221801 ; 10.3990/1.9789036536486 ; urn:isbn:978-90-365-3648-6 ; urn:nbn:nl:ui:28-91812 ; https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html.

MLA Handbook (7th Edition):

Haraksim, Rudolf. “Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints.” 2014. Web. 10 Jul 2020.

Vancouver:

Haraksim R. Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints. [Internet] [Doctoral dissertation]. University of Twente; 2014. [cited 2020 Jul 10]. Available from: https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html ; urn:nbn:nl:ui:28-91812 ; 576d6173-c521-4630-be58-2739f2221801 ; 10.3990/1.9789036536486 ; urn:isbn:978-90-365-3648-6 ; urn:nbn:nl:ui:28-91812 ; https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html.

Council of Science Editors:

Haraksim R. Validation of Likelihood Ratio Methods Used for Forensic Evidence Evaluation: Application in Forensic Fingerprints. [Doctoral Dissertation]. University of Twente; 2014. Available from: https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html ; urn:nbn:nl:ui:28-91812 ; 576d6173-c521-4630-be58-2739f2221801 ; 10.3990/1.9789036536486 ; urn:isbn:978-90-365-3648-6 ; urn:nbn:nl:ui:28-91812 ; https://research.utwente.nl/en/publications/validation-of-likelihood-ratio-methods-used-for-forensic-evidence-evaluation-application-in-forensic-fingerprints(576d6173-c521-4630-be58-2739f2221801).html

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