Cancer Intervention and Surveillance Modeling Network (CISNET)
This RFA is a reissue of RFA-CA-99-013 and RFA-CA-02-010. NCI invites applications to support collaborative research using simulation and other modeling techniques to describe the impact of interventions (i.e., primary prevention, screening, and treatment) in population-based settings in order to ascertain determinants of cancer trends. The primary goals of this research are: (1) To determine the impact of cancer control interventions on observed trends in incidence and/or mortality and (2) To determine whether recommended interventions are having their expected population impact by examining discrepancies between controlled cancer intervention study results and the population experience.
The RFA will use the NIH (U01) award mechanism.
For more information see http://cri.nci.nih.gov/4abst.cfm?initiativeparfa_id=2080
Inquiries: Dr. Eric Feuer, firstname.lastname@example.org