title: Application of Bayesian theory to the reporting of results in alcohol hair testing.
authors: Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, UK. Electronic address: lydia.bossers@southwales.ac.uk.
authors: Dr Lydia C A M
authors: DLCAM
authors: Bossers
authors: Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, UK. Electronic address: richard.paul@southwales.ac.uk.
authors: Dr Richard
authors: DR
authors: Paul
mesh_terms: D000428:Alcohol Drinking; D000437:Alcoholism / Q000175:diagnosis; D015415:Biomarkers / Q000032:analysis; D016001:Confidence Intervals; D053593:Forensic Toxicology; D005965:Glucuronates / Q000032:analysis*; D006197:Hair / Q000737:chemistry*; D006801:Humans; D016013:Likelihood Functions
chemical_list: D015415:Biomarkers; D005965:Glucuronates; C093924:ethyl glucuronide