Some Aspects of Maximum Likelihood Estimation of Multistage Cancer Dose-Response Models with Application


Journal Article

Quantitative cancer dose-response models play an important role in cancer risk assessment. They also play a role in regulatory processes associated with potential occupational or environmental exposures. The multistage model is currently the most widely used cancer dose-response model. This paper describes the construction of the likelihood function in the special case of the multistage cancer dose-response models. The concavity of the likelihood function is also established. A criterion is developed to determine the degree of the polynomial portion of the multistage model. Finally, the restricted and unrestricted maximum likelihood estimators are considered and applied to some experimental data sets. © 1993, Taylor & Francis Group, LLC. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Al-Khalidi, HR; Parsa, AR

Published Date

  • January 1, 1993

Published In

Volume / Issue

  • 22 / 12

Start / End Page

  • 3377 - 3392

Electronic International Standard Serial Number (EISSN)

  • 1532-415X

International Standard Serial Number (ISSN)

  • 0361-0926

Digital Object Identifier (DOI)

  • 10.1080/03610929308831222

Citation Source

  • Scopus