On the generalization of a time-to-response cancer risk assessment model /

Bibliographic Details
Main Author: Burguete Hernandez, Esteban, 1950-
Other Authors: Hocking, Ronald R. (degree committee member.), Lacey, Howard (degree committee member.), Smith, Laurel L (degree committee member.)
Format: Thesis Book
Language:English
Published: 1986.
Subjects:
Online Access:Link to ProQuest copy
Link to OAKTrust copy
ProQuest, Abstract

MARC

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099 |a 1986  |a Disser-  |a tation  |a B957 
100 1 |a Burguete Hernandez, Esteban,  |d 1950- 
245 1 0 |a On the generalization of a time-to-response cancer risk assessment model / 
264 1 |c 1986. 
300 |a xi, 82 leaves :  |b illustrations ;  |c 29 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a "Major subject: Statistics." 
500 |a Typescript (photocopy). 
500 |a Vita. 
502 |b Ph. D.  |c Texas A & M University  |d 1986 
504 |a Includes bibliographical references (leaves 80-81). 
520 3 |a 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. 
650 0 |a Biometry. 
650 0 |a Cancer  |x Research  |x Mathematical models. 
650 0 |a Health risk assessment  |x Mathematical models. 
650 4 |a Major statistics. 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Hocking, Ronald R.,  |e degree committee member. 
700 1 |a Lacey, Howard,  |e degree committee member. 
700 1 |a Sielken, Robert L.,  |e degree supervisor. 
700 1 |a Smith, Laurel L,  |e degree committee member. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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