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Likelihood ratio method for the interpretation of iPhone health app data in digital forensics

  • Published:2022-06 Issue: Volume:41 Page:301389
  • ISSN:2666-2817
  • Container-title:Forensic Science International: Digital Investigation
  • language:en
  • Short-container-title:Forensic Science International: Digital Investigation

Author:

Vink M. (Marouschka),Sjerps M.J. (Marjan),Boztas A. (Abdul),van Zandwijk J.P. (Jan Peter)

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference43 articles.

1. Statistics and the Evaluation of Evidence for Forensic Scientists;Aitken,2020

2. Evidence evaluation for discrete data;Aitken;Forensic Sci. Int.,2013

3. Investigation of the validity and reliability of a smartphone pedometer application;Åkerberg;Eur. J. Physiother,2016

4. Evaluating score-and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparison;Bolck;Law Probab. Risk,2014

5. Establishing phone-pair co-usage by comparing mobility patterns;Bosma;Sci. Justice,2020

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