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Mahalanobis distance and variable selection to optimize dose response

Technical Report ·
DOI:https://doi.org/10.2172/5760049· OSTI ID:5760049

A battery of statistical techniques are combined to improve detection of low-level dose response. First, Mahalanobis distances are used to classify objects as normal or abnormal. Then the proportion classified abnormal is regressed on dose. Finally, a subset of regressor variables is selected which maximizes the slope of the dose response line. Use of the techniques is illustrated by application to mouse sperm damaged by low doses of x-rays.

Research Organization:
California Univ., Livermore (USA). Lawrence Livermore Lab.
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
5760049
Report Number(s):
UCRL-82501
Country of Publication:
United States
Language:
English

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