A new statistical model of tumor latency time

G. R. Haynatzki, K. Weron, V. R. Haynatzka

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A new statistical parametric model of carcinogenesis is proposed. The focus is on tumor latency times. The model makes use of extreme value theory following the line initially explored by Pike [1] and further developed by Klebanov et al. [2]. In this paper, we make the first attempt to take account of the interdependence between the cells in an initiated tissue developing into a malignant tumor. (C) 2000 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)251-256
Number of pages6
JournalMathematical and Computer Modelling
Volume32
Issue number1-2
DOIs
StatePublished - Jul 1 2000

Fingerprint

Statistical Model
Latency
Tumors
Tumor
Extreme Value Theory
Carcinogenesis
Parametric Model
Tissue
Line
Cell
Statistical Models
Statistical model
Model
Interdependence
Parametric model
Extreme value theory

Keywords

  • CED systems
  • Carcinogenesis
  • Cell dependence
  • Extreme value theory
  • Survival times
  • Tumor latency times

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications

Cite this

A new statistical model of tumor latency time. / Haynatzki, G. R.; Weron, K.; Haynatzka, V. R.

In: Mathematical and Computer Modelling, Vol. 32, No. 1-2, 01.07.2000, p. 251-256.

Research output: Contribution to journalArticle

Haynatzki, G. R. ; Weron, K. ; Haynatzka, V. R. / A new statistical model of tumor latency time. In: Mathematical and Computer Modelling. 2000 ; Vol. 32, No. 1-2. pp. 251-256.
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