The main objective of this research is to develop statistical methodology and probability models for a wide variety of problems arising in the biomedical sciences which are especially applicable to cancer. The principal areas in which research will be conducted are: the planning and analysis of therapeutic trials, the analysis of discrete data, and the use of Bayesian methods in case control studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA023415-10
Application #
3166141
Study Section
(SSS)
Project Start
1977-09-01
Project End
1990-03-31
Budget Start
1987-04-01
Budget End
1988-03-31
Support Year
10
Fiscal Year
1987
Total Cost
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Finkelstein, D M (1991) Modeling the effect of dose on the lifetime tumor rate from an animal carcinogenicity experiment. Biometrics 47:669-80
Moore, D F; Tsiatis, A (1991) Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. Biometrics 47:383-401
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Kalish, L A (1990) Reducing mean squared error in the analysis of pair-matched case-control studies. Biometrics 46:493-9
Gray, R J; Tsiatis, A A (1989) A linear rank test for use when the main interest is in differences in cure rates. Biometrics 45:899-904
Cnaan, A; Ryan, L (1989) Survival analysis in natural history studies of disease. Stat Med 8:1255-68
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Finkelstein, D M; Schoenfeld, D A (1989) Analysis of multiple tumor data from a rodent carcinogenicity experiment. Biometrics 45:219-30
Zelen, M (1988) Are primary cancer prevention trials feasible? J Natl Cancer Inst 80:1442-4

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