Relative risk regression models are being increasingly use in the analysis of cancer epidemiologic and clinical date. The statistical properties of these models in small to moderate-sized data sets are not well understood. The first part of this grant application will investigate procedures for inference, methods of model criticism and validation, and computational considerations when using general relative risk regression models for analysis of epidemiologic or clinical data. An important feature of this research will be the systematic use of the newly developed tools of differential geometry in statistics. The second part of the grant proposal will address the problem of quantitative cancer risk assessment. A previously developed stochastic two-stage model for carcinogenesis will be extended to allow the incorporation of time- dependent covariates. The properties of this model will be investigated within the context of risk assessment.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA047658-01
Application #
3191421
Study Section
(SSS)
Project Start
1988-03-01
Project End
1993-02-28
Budget Start
1988-03-01
Budget End
1989-02-28
Support Year
1
Fiscal Year
1988
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
Meza, Rafael; Hazelton, William D; Colditz, Graham A et al. (2008) Analysis of lung cancer incidence in the Nurses'Health and the Health Professionals'Follow-Up Studies using a multistage carcinogenesis model. Cancer Causes Control 19:317-28
Jeon, Jihyoun; Meza, Rafael; Moolgavkar, Suresh H et al. (2008) Evaluation of screening strategies for pre-malignant lesions using a biomathematical approach. Math Biosci 213:56-70
Jeon, Jihyoun; Luebeck, E Georg; Moolgavkar, Suresh H (2006) Age effects and temporal trends in adenocarcinoma of the esophagus and gastric cardia (United States). Cancer Causes Control 17:971-81
Meza, Rafael; Luebeck, E Georg; Moolgavkar, Suresh H (2005) Gestational mutations and carcinogenesis. Math Biosci 197:188-210
Luebeck, E Georg; Buchmann, Albrecht; Schneider, Daniela et al. (2005) Modulation of liver tumorigenesis in Connexin32-deficient mouse. Mutat Res 570:33-47
Dewanji, A; Luebeck, E G; Moolgavkar, S H (2005) A generalized Luria-Delbruck model. Math Biosci 197:140-52
Moolgavkar, Suresh H (2004) Commentary: Fifty years of the multistage model: remarks on a landmark paper. Int J Epidemiol 33:1182-3
de Gunst, Mathisca C M; Dewanji, Anup; Luebeck, E Georg (2003) Exploring heterogeneity in tumour data using Markov chain Monte Carlo. Stat Med 22:1691-707
Moolgavkar, Suresh H; Luebeck, E Georg (2003) Multistage carcinogenesis and the incidence of human cancer. Genes Chromosomes Cancer 38:302-6
Luebeck, E Georg; Moolgavkar, Suresh H (2002) Multistage carcinogenesis and the incidence of colorectal cancer. Proc Natl Acad Sci U S A 99:15095-100

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