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Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments.

Publication ,  Journal Article
Dunson, DB; Dinse, GE
Published in: Biometrics
December 2000

In some types of cancer chemoprevention experiments and short-term carcinogenicity bioassays, the data consist of the number of observed tumors per animal and the times at which these tumors were first detected. In such studies, there is interest in distinguishing between treatment effects on the number of tumors induced by a known carcinogen and treatment effects on the tumor growth rate. Since animals may die before all induced tumors reach a detectable size, separation of these effects can be difficult. This paper describes a flexible parametric model for data of this type. Under our model, the tumor detection times are realizations of a delayed Poisson process that is characterized by the age-specific tumor induction rate and a random latency interval between tumor induction and detection. The model accommodates distinct treatment and animal-specific effects on the number of induced tumors (multiplicity) and the time to tumor detection (growth rate). A Gibbs sampler is developed for estimation of the posterior distributions of the parameters. The methods are illustrated through application to data from a breast cancer chemoprevention experiment.

Duke Scholars

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

December 2000

Volume

56

Issue

4

Start / End Page

1068 / 1075

Related Subject Headings

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  • Statistics & Probability
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  • Rats
  • Neoplasms, Experimental
  • Models, Statistical
  • Mammary Neoplasms, Experimental
  • Female
  • Drug Screening Assays, Antitumor
 

Citation

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Dunson, D. B., & Dinse, G. E. (2000). Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments. Biometrics, 56(4), 1068–1075. https://doi.org/10.1111/j.0006-341x.2000.01068.x
Dunson, D. B., and G. E. Dinse. “Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments.Biometrics 56, no. 4 (December 2000): 1068–75. https://doi.org/10.1111/j.0006-341x.2000.01068.x.
Dunson, D. B., and G. E. Dinse. “Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments.Biometrics, vol. 56, no. 4, Dec. 2000, pp. 1068–75. Epmc, doi:10.1111/j.0006-341x.2000.01068.x.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

ISSN

0006-341X

Publication Date

December 2000

Volume

56

Issue

4

Start / End Page

1068 / 1075

Related Subject Headings

  • Vitamin A
  • Statistics & Probability
  • Retinyl Esters
  • Rats, Sprague-Dawley
  • Rats
  • Neoplasms, Experimental
  • Models, Statistical
  • Mammary Neoplasms, Experimental
  • Female
  • Drug Screening Assays, Antitumor