title: Evaluation of links in heroin seizures.
abstract: The evaluation of a link between two heroin seizures using a descriptive method is presented. It is based on the measure of the angles between two chromatograms assimilated to vectors, and interpreted using a continuous approach based on the likelihood ratio of Bayes' theorem. A complete evaluation model thus avoids the drawbacks of decision thresholds used until now to establish a link. Validation is obtained through tests and simulation methods.
authors.affiliation: Institut de Police Scientifique et de Criminologie, University of Lausanne, BCH, 1015 Lausanne-Dorigny, Switzerland. laurence.dujourdy@ipsc.unil.ch
authors.forename: L
authors.initials: L
authors.lastname: Dujourdy
authors.forename: G
authors.initials: G
authors.lastname: Barbati
authors.forename: F
authors.initials: F
authors.lastname: Taroni
authors.forename: O
authors.initials: O
authors.lastname: Guéniat
authors.forename: P
authors.initials: P
authors.lastname: Esseiva
authors.forename: F
authors.initials: F
authors.lastname: Anglada
authors.forename: P
authors.initials: P
authors.lastname: Margot
mesh_terms: D005554:Forensic Medicine / Q000706:statistics & numerical data*; D003932:Heroin / Q000009:adverse effects*; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D009294:Narcotics / Q000009:adverse effects*; D015203:Reproducibility of Results; D012640:Seizures / Q000139:chemically induced*; D013223:Statistics as Topic / Q000379:methods*
chemical_list: D009294:Narcotics; D003932:Heroin