Journal
MATHEMATICAL BIOSCIENCES
Volume 208, Issue 2, Pages 644-657Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2006.12.004
Keywords
cancer detection; cancer natural history; cancer screening; model identifiability; tumor latency; tumor size
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Funding
- NCI NIH HHS [U01 CA088177, U01 CA088177-05S1, U01 CA088177-05, U01 CA088177-02, U01 CA088177-03, U01 CA088177-01, U01 CA88177, U01 CA088177-04] Funding Source: Medline
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In recent years, a stochastic model of cancer development and detection allowing for arbitrary screening schedules has been developed and applied to analysis of screening trials and population-based cancer incidence and mortality data. The model is entirely mechanistic, builds on a minimal set of biologically plausible assumptions, and yields the joint distribution of tumor size and age of a patient at the time of diagnosis. Whether or not parameters of the model can be estimated from data generated by cohort studies depends on model identifiability. The present paper provides a proof of this important property of the model. (C) 2007 Elsevier Inc. All rights reserved.
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