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Pattern Recognition in the Context of an Asbestos Cancer Threshold Study

In: Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface

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  • Michael E. Tarter

    (University of California)

Abstract

Five distinct stages of a pattern recognition problem are discussed in the context of a study of drinking water asbestos health effects. A series of nonparametric regression procedures is used to examine the possiblilty of a threshold in the relationship between asbestos in drinking water and cancer. Evidence is presented which suggests that rather than there being a threshold, the dose response curve E (Y\X) is linear. It is also shown that by choosing a large value (in comparison to earlier studies) for the 125 location parameter of the log observed-to-expected response variable, the overall significance level of the asbestos in drinking water-cancer association is greatly increased and the resolution of the threshold pattern recognition procedure is greatly enhanced.

Suggested Citation

  • Michael E. Tarter, 1981. "Pattern Recognition in the Context of an Asbestos Cancer Threshold Study," Springer Books, in: William F. Eddy (ed.), Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, pages 105-110, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-9464-8_15
    DOI: 10.1007/978-1-4613-9464-8_15
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