The proposed research involves the following subject areas: survival analysis, classification and non-linear regression, the low-dose extrapolation problem, and statistical deconvolution and regularization. Among the topics planned for consideration are: an investigation of the efficiencies of goodness-of-fit procedures with censored data; a modification of the Gehan test or the Mantel-Haenszel test for the sequential analysis of randomly censored data; the development of a test for trend in survival distributions with randomly cnesored data; a theoretical investigation of questions concerning recursive partitioning schemes raised in previous research; the application of recursive partitioning schemes to the analysis of data sets collected by Dr. D. Morton of UCLA and by Dr. C. Zippin of UCSF; the development of a new technique of effecting the low-dose extrapolation procedure, the technique being related to D.R. Cox's proportional hazards models; a theoretical and empirical investigation of the effectiveness and resolvability of various methods of handling the low-dose extrapolation problem; an investigation of methods for deconvolving estimated probability density functions.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA041582-02
Application #
3182244
Study Section
(SSS)
Project Start
1985-08-01
Project End
1987-07-31
Budget Start
1986-08-01
Budget End
1987-07-31
Support Year
2
Fiscal Year
1986
Total Cost
Indirect Cost
Name
Scripps Research Institute
Department
Type
DUNS #
City
San Diego
State
CA
Country
United States
Zip Code
92037
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