ZIA CP010185 10697 (ZIA) | |||
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Title | Uncertainty Methods Development | ||
Institution | NCI, Bethesda, MD | ||
Principal Investigator | Simon, Steven | NCI Program Director | N/A |
Cancer Activity | N/A | Division | DCEG |
Funded Amount | $65,633 | Project Dates | null - null |
Fiscal Year | 2018 | Project Type | Intramural |
Research Topics w/ Percent Relevance | Cancer Types w/ Percent Relevance | ||
Biochemical Epidemiology (45.0%) Cancer (100.0%) |
N/A | ||
Research Type | |||
Development and Characterization of Model Systems Application of Model Systems |
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Abstract | |||
This study is part of the methodologic development activities of the REB Dosimetry Unit to assess, quantify, and correct for dosimetric uncertainty in health risk studies. Specifically, this study is developing the techniques of (1) two-dimensional Monte Carlo (2DMC), and (2) a Bayesian-based risk analysis strategy. The 2DMC is a simulation technique to assist dose estimation when exposure-related parameter values are uncertain and study subjects share common exposure attributes. The method produces multiple realizations of the cohort dose distribution. The Bayesian-based risk analysis strategy uses Monte Carlo Markov Chain (MCMC) methods and a system of deriving Bayesian weights in order to assess the risk from the multiple dose realizations produced by the 2DMC. Both methods are being assessed for efficiency and reliability and compared against more traditional strategies. |