rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: On the generalization of a time-to-response cancer risk assessment model
  name:
    name part: Burguete Hernandez, Esteban
    name part: 1950-
    role:
      role term: creator
  name:
    name part: Hocking, Ronald R.
    role:
      role term: degree committee member.
  name:
    name part: Lacey, Howard
    role:
      role term: degree committee member.
  name:
    name part: Sielken, Robert L.
    role:
      role term: degree supervisor.
  name:
    name part: Smith, Laurel L
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1986
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 82 leaves : illustrations ; 29 cm
  abstract: This dissertation generalizes the hazard rate in the Hartley-Sielken model from a product form in dose and time to a nonproduct form. Also a latency period (the time from onset of cancer until it is clinically detectable) is considered. The likelihood function of the nonproduct model is concave when the latency period is not present. Two measures of goodness-of-fit are presented for situations in which the time to the tumor or similar response is not observable. When the time to the specified response is observable the goodness-of-fit statistics in Akritas (1985) can be applied. Cancer risk characterizations such as Virtually Safe Dose, Late Risk Dose, and Mean Free Period can be obtained using the nonproduct model. A computer program was developed to facilitate the use of the generalized model in a personal computer environment. A small simulation experiment was performed. In that experiment a better fit did not necessarily imply better cancer risk characterizations. Also, the true and estimated frequencies were closer together than the observed and estimated frequencies. The nonproduct model fit the experimental data on the presence of liver carcinoma in sacrificed mice in the ED[01] study better than the product model did.
  note: "Major subject: Statistics."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. Texas A & M University 1986
  note: Includes bibliographical references (leaves 80-81).
  subject:
    topic: Biometry
  subject:
    topic: Cancer
    topic: Research
    topic: Mathematical models
  subject:
    topic: Health risk assessment
    topic: Mathematical models
  subject:
    topic: Major statistics
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-23804
  identifier: http://gateway.proquest.com/openurl
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-23804
  related item:
    location:
      url: http://gateway.proquest.com/openurl
  record info:
    record content source: TXA
    record creation date: 880608
    record change date: 20220104090811.0
    record identifier: in00000015316
    language of cataloging:
      language term: eng