title: Internal dosimetry verification and validation database.
abstract: Simulated-data internal dosimetry cases for use in intercomparison exercises or as a software verification and validation tool have been published on the internet (www.lanl.gov/bayesian/software Bayesian software package II). A user may validate their internal dosimetry code or method using this simulated bioassay data. Or, the user may choose to try out the Los Alamos National Laboratory codes ID and UF, which are also supplied. A Poisson-lognormal model of data uncertainty is assumed. A collection of different possible models for each nuclide (e.g. solubility types and particle sizes) are used. For example, for 238Pu, 14 different biokinetic models or types (8 inhalation, 4 wound and 2 ingestion) are assumed. Simulated data are generated for all the assumed biokinetic models, both for incidents, where the time of intake is known, and for non-incidents, where it is not. For the dose calculations, the route of intake, but not the biokinetic model, is considered to be known. The object is to correctly calculate the known true dose from simulated data covering a period of time. A 'correct' result has been defined in two ways: (1) that the credible limits of the calculated dose include the correct dose and (2) that the calculated dose is within a factor of 2 of the correct dose.
authors.affiliation: Los Alamos National Laboratory, Los Alamos, NM 87545, USA. guthrie@lanl.gov
authors.forename: G
authors.initials: G
authors.lastname: Miller
authors.forename: L
authors.initials: L
authors.lastname: Bertelli
authors.forename: T
authors.initials: T
authors.lastname: Little
authors.forename: R A
authors.initials: RA
authors.lastname: Guilmette
mesh_terms: D001822:Body Burden; D003198:Computer Simulation; D003628:Database Management Systems; D016208:Databases, Factual; D006801:Humans; D008954:Models, Biological; D011829:Radiation Dosage; D011874:Radiometry / Q000379:methods*; D012062:Relative Biological Effectiveness; D012986:Software Validation