Parameter estimation for multistage clonal expansion models from cancer incidence data: A practical identifiability analysis.

ABSTRACT: Many cancers are understood to be the product of multiple somatic mutations or other rate-limiting events. Multistage clonal expansion (MSCE) models are a class of continuous-time Markov chain models that capture the multi-hit initiation-promotion-malignant-conversion hypothesis of carcinogenesis. These models have been used broadly to investigate the epidemiology of many cancers, assess the impact of carcinogen exposures on cancer risk, and evaluate the potential impact of cancer prevention and control strategies on cancer rates. Structural identifiability (the analysis of the maximum parametric information available for a model given perfectly measured data) of certain MSCE models has been previously investigated. However, structural identifiability is a theoretical property and does not

SUBMITTER: Brouwer AF 

PROVIDER: S-EPMC5367820 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature