Modeling and statistical analysis of Medaka bioassay data
By: Donald P. Gaver, Patricia A. Jacobs
Contributors: Jacobs, Patricia A.; Naval Postgraduate School (U.S.). Dept. of Operations Research
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1992
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 34
Subjects: FISHES; GROUND WATER; PATHOLOGY; TOXICITY; TRICHLOROETHYLENE
Other titles: NPS-OR-92-012.
Description: A histopathologic examination of tissues from Oryzias laptipes (Japanese medaka fish)      was performed to evaluate the carcinogenic potential of tricholoroethylene (TCE) in      groundwater. The data were reported by Experimental Pathology Laboratories, Inc., in a      report dated Jan. 19, 1990, submitted to the Army Biomedical Research and      Development Laboratory, Ft. Detrick, MD. This paper provides a brief statistical analysis      of some aspects of those data. The analysis does not reveal a strong positive relationship      between TCE concentration over the range considered and probability (risk or hazard) of      incurring at least one end point manifestation (here cystic degeneration or liver neoplasm)      in a fish. Uncertainties in the point estimates are assessed by bootstrapping. Both      non-parametric (weak statistical assumptions) and parametric (stronger statistical      assumptions) analyses give similar inconclusive dose- response indications. A brief      discussion is included of a biologically-based mathematical model that is likely to form an      appropriate basis for more sophisticated data analysis. One contribution of this paper is      to discuss and illustrate techniques for quantitative analysis of other similar data. The      methods can also be used to assist in choosing an experimental design. Binomial      Distribution; Censored data; Generalized linear model; Bootstrap.
Notes: Cover title.

"NPS-OR-92-012."

"May 1992."

AD A252 844.

Includes bibliographical references (p. 18-19)

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