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Battery Selection

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Abstract

In Chapter 3 we described several analyses that can be used to summarize the performances of the individual tests and the interdependencies among the tests from a data base containing test results on objects with known properties. With the availability of this summary information, whether it is obtained from the preliminary analyses or from other sources, we are now in a position to try to determine which combination of tests would be best to use for a given decision problem.

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References

  • Bellman, R. E., and Dreyfus, S. E., 1962, Applied Dynamic Programming, Princeton University Press, Princeton, New Jersey.

    Google Scholar 

  • Heinze, J. E., and Poulsen, N. K., 1983, “The optimal design of batteries of short-term tests for detecting carcinogens,” Mutation Res., 117:259–269.

    Article  CAS  Google Scholar 

  • McCann, J., Choi, E., Yamasaki, E., and Ames, B. N., 1975, “Detection of carcinogens as mutagens in the Salmonella/microsome test: Assay of 300 chemicals,” Proc. Natl. Acad. Sci. (U.S.A.), 72:5135–5139.

    Article  CAS  Google Scholar 

  • Mitten, L. G., 1974, “Preference order dynamic programming,” Management Sci., 21:43–46.

    Article  Google Scholar 

  • Pet-Edwards, J., 1986, “Selection and interpretation of conditionally dependent tests for binary prediction: A Bayesian approach,” Ph.D. dissertation, Case Western Reserve University, Cleveland, Ohio.

    Google Scholar 

  • Pet-Edwards, J., Chankong, V., Rosenkranz, H. S., and Haimes, Y. Y., 1985, “Application of the carcinogenicity prediction and battery selection (CPBS) method to the Gene-tox data base,” Mutation Res., 153:187–200.

    CAS  Google Scholar 

  • Tauxe, G. W., Inman, R. R., and Mades, D. M., 1979, “Multiobjective dynamic programming: A classic problem redressed,” Water Resource Res., 15:1398–1402.

    Article  Google Scholar 

  • Villarreal, B., and Karwan, M. H., 1982, “Multicriteria dynamic programming with an application to the integer case,” J. Optim. Theory Appl, 38:43–69.

    Article  Google Scholar 

  • Yu, P.-L., 1985, Multiple-Criteria Decision Making, Plenum Press, New York.

    Book  Google Scholar 

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© 1989 Plenum Press, New York

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Pet-Edwards, J., Haimes, Y.Y., Chankong, V., Rosenkranz, H.S., Ennever, F.K. (1989). Battery Selection. In: Risk Assessment and Decision Making Using Test Results. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5595-3_4

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  • DOI: https://doi.org/10.1007/978-1-4684-5595-3_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-5597-7

  • Online ISBN: 978-1-4684-5595-3

  • eBook Packages: Springer Book Archive

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