The central theme of this program project is the development of
quantitative methods, based on biological mechanism, to address important
problems in cancer and AIDS. To this end, biologically-based mathematical
models will be developed, together with the requisite statistical methods
and computational tools for the analysis of data using these models. The
usefulness of the models will be demonstrated by analyses of substantial
data sets. Three research projects are proposed.
1. Stochastic Models of Carcinogenesis with Applications to Analyses of
Epidemiologic and Experimental Data. In this project stochastic models of
carcinogenesis will be developed for analyses of time-to-tumor data in
epidemiologic and experimental studies and for analyses of intermediate
lesions on the pathway to cancer in initiation-promotion experiments.
2. Risk Prediction Models for Breast and other Cancers. In this project,
risk prediction models, based on the natural history of the disease and
incorporating both genetic and environmental factors, will be developed
for breast and other cancers
3. Quantitative methods for Modelling HIV Infection Dynamics: In this
project, deterministic and stochastic models will be developed for
describing interactions between HIV and the immune system during the acute
and early stages of infection.
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