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                            Library & Multimedia
 Re: Riman et al. Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset
NCJ Number
              307013
Journal

*Forensic Science International: Genetics* Volume: 59 Dated: July 2022
Author(s)
          John Buckleton;
                        Jo-Anne Bright;
                        Duncan Taylor;
                        Richard Wivell;
                        Øyvind Bleka;
                        Peter Gill;
                        Corina Benschop;
                        Bruce Budowle;
                        Michael Coble
Date Published

July 2022
Annotation
              This article provides a counter to the findings presented in Riman, et al. Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset.
Abstract
              In Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset the authors find that the bulk of Riman et al. reports results based on flawed data and model configurations. In their methods, Riman et al. describe the use of filtered CSV files from the PROVEDIt dataset as primary input files. These files contain mixed DNA profiles analysed at a 1 rfu AT within GeneMapper ID-X. In what amounts to an apologia Riman et al. state: “We use the term LR system deliberately to emphasize that the assigned LR values are a product of the decisions that went into the interpretation process of the LR system and not solely the PGS. (Published Abstract Provided)
      
  
          Additional Details
Grant Number(s)
        2020-DQ-BX-0022


  
  
        
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  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Population Genetic Issues for Forensic DNA Profiles
    
  
  
Date Published: July 1, 2022
    
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