Modeling and statistical analysis of Medaka bioassay data

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July 24, 2014 | History

Modeling and statistical analysis of Medaka bioassay data

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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.

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Cover of: Modeling and statistical analysis of Medaka bioassay data
Modeling and statistical analysis of Medaka bioassay data
1992, Naval Postgraduate School, Available from National Technical Information Service
in English

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Book Details


Published in

Monterey, Calif, Springfield, Va

Edition Notes

Cover title.

"NPS-OR-92-012."

"May 1992."

AD A252 844.

Includes bibliographical references (p. 18-19)

aq/aq cc:9116 07/08/97

Other Titles
NPS-OR-92-012.

The Physical Object

Pagination
i, 34 p. :
Number of pages
34

ID Numbers

Open Library
OL25472623M
Internet Archive
modelingstatisti00gave

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