Ontology highlight
ABSTRACT:
SUBMITTER: Muhammad-Kah RS
PROVIDER: S-EPMC6479389 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Muhammad-Kah Raheema S RS Pithawalla Yezdi B YB Boone Edward L EL Wei Lai L Jones Michael A MA Black Ryan A RA Bryan Thomas M TM Sarkar Mohamadi A MA
International journal of environmental research and public health 20190409 7
Computational models are valuable tools for predicting the population effects prior to Food and Drug Administration (FDA) authorization of a modified risk claim on a tobacco product. We have developed and validated a population model using best modeling practices. Our model consists of a Markov compartmental model based on cohorts starting at a defined age and followed up to a specific age accounting for 29 tobacco-use states based on a cohort members transition pathway. The Markov model is coup ...[more]