Mahalanobis distance and variable selection to optimize dose response
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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Related Subjects
560152* -- Radiation Effects on Animals-- Animals
63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.
ANIMALS
BIOLOGICAL EFFECTS
BIOLOGICAL RADIATION EFFECTS
DOSE-RESPONSE RELATIONSHIPS
GAMETES
GERM CELLS
MAMMALS
MATHEMATICS
MICE
MORPHOLOGICAL CHANGES
MUTAGENS
RADIATION EFFECTS
REGRESSION ANALYSIS
RODENTS
SPERMATOZOA
STATISTICS
VERTEBRATES
63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.
ANIMALS
BIOLOGICAL EFFECTS
BIOLOGICAL RADIATION EFFECTS
DOSE-RESPONSE RELATIONSHIPS
GAMETES
GERM CELLS
MAMMALS
MATHEMATICS
MICE
MORPHOLOGICAL CHANGES
MUTAGENS
RADIATION EFFECTS
REGRESSION ANALYSIS
RODENTS
SPERMATOZOA
STATISTICS
VERTEBRATES