title: Multiple parameter evidence synthesis--a potential solution for when information on drug use and harm is in conflict.
abstract: The quality of the evidence on estimating drug-related harm is not yet as advanced as that for intervention effectiveness. Multiple parameter evidence synthesis offers a potential solution, in which 'all available evidence' is combined into a single coherent model.We present a case study of estimating the number of people infected with hepatitis C.
authors.forename: Matthew
authors.initials: M
authors.lastname: Hickman
authors.forename: Daniela
authors.initials: D
authors.lastname: De Angelis
authors.forename: Hayley
authors.initials: H
authors.lastname: Jones
authors.forename: Ross
authors.initials: R
authors.lastname: Harris
authors.forename: Nicky
authors.initials: N
authors.lastname: Welton
authors.forename: A E
authors.initials: AE
authors.lastname: Ades
mesh_terms: D004739:England / Q000453:epidemiology; D040261:Harm Reduction; D019698:Hepatitis C, Chronic / Q000453:epidemiology*; D006801:Humans; D015233:Models, Statistical; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods; D015819:Substance Abuse, Intravenous / Q000453:epidemiology*