View in EDS HTML Full Text PDF Full Text

Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response Uncertainty.

Saved in:
Bibliographic Details
Title: Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response Uncertainty.
Authors: Wheeler MW; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA., Blessinger T; Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Washington, DC, USA., Shao K; Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, USA., Allen BC; Bruce C Allen Consulting, Chapel Hill, NC, USA., Olszyk L; General Dynamics Information Technology Federal Civilian Division, EPA (N127-01), RTP, NC, USA., Davis JA; National Center for Environmental Assessment, U.S. Environmental Protection Agency, Cincinnati, OH, USA., Gift JS; US Environmental Protection Agency (B243-01), National Center for Environmental Assessment, RTP, NC, USA.
Source: Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2020 Sep; Vol. 40 (9), pp. 1706-1722. Date of Electronic Publication: 2020 Jun 29.
Publication Type: Journal Article; Research Support, N.I.H., Intramural
Journal Info: Publisher: Blackwell Publishers Country of Publication: United States NLM ID: 8109978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-6924 (Electronic) Linking ISSN: 02724332 NLM ISO Abbreviation: Risk Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 32602232
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response Uncertainty.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wheeler+MW%22">Wheeler MW</searchLink>; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.<br /><searchLink fieldCode="AU" term="%22Blessinger+T%22">Blessinger T</searchLink>; Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Washington, DC, USA.<br /><searchLink fieldCode="AU" term="%22Shao+K%22">Shao K</searchLink>; Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, USA.<br /><searchLink fieldCode="AU" term="%22Allen+BC%22">Allen BC</searchLink>; Bruce C Allen Consulting, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Olszyk+L%22">Olszyk L</searchLink>; General Dynamics Information Technology Federal Civilian Division, EPA (N127-01), RTP, NC, USA.<br /><searchLink fieldCode="AU" term="%22Davis+JA%22">Davis JA</searchLink>; National Center for Environmental Assessment, U.S. Environmental Protection Agency, Cincinnati, OH, USA.<br /><searchLink fieldCode="AU" term="%22Gift+JS%22">Gift JS</searchLink>; US Environmental Protection Agency (B243-01), National Center for Environmental Assessment, RTP, NC, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228109978%22">Risk analysis : an official publication of the Society for Risk Analysis</searchLink> [Risk Anal] 2020 Sep; Vol. 40 (9), pp. 1706-1722. <i>Date of Electronic Publication: </i>2020 Jun 29.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Intramural
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Publishers%22">Blackwell Publishers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8109978 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1539-6924 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2202724332%22">02724332 </searchLink><i>NLM ISO Abbreviation: </i>Risk Anal <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32602232
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/risa.13537
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1706
    Titles:
      – TitleFull: Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response Uncertainty.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wheeler MW
      – PersonEntity:
          Name:
            NameFull: Blessinger T
      – PersonEntity:
          Name:
            NameFull: Shao K
      – PersonEntity:
          Name:
            NameFull: Allen BC
      – PersonEntity:
          Name:
            NameFull: Olszyk L
      – PersonEntity:
          Name:
            NameFull: Davis JA
      – PersonEntity:
          Name:
            NameFull: Gift JS
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2020 Sep
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-electronic
              Value: 1539-6924
          Numbering:
            – Type: volume
              Value: 40
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Risk analysis : an official publication of the Society for Risk Analysis
              Type: main
ResultId 1