Modeling and Statistical Analysis of Medaka Bioassay Data.

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
May 01, 1992
Accession Number
ADA252844

Entities

People

  • Donald P. Gaver Jr.
  • Patricia A. Jacobs

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Differential Equations
  • Equations
  • Experimental Design
  • Information Science
  • Operations Research
  • Parametric Analysis
  • Probability
  • Public Health
  • Random Variables
  • Risk Analysis
  • Statistical Analysis
  • Statistics

Readers

  • Aquatic Ecology
  • Regression Analysis.
  • Toxicology/Environmental Toxicology

Technology Areas

  • Biotechnology