A new statistical model of tumor latency time

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

doi:10.1016/S0895-7177(00)00132-1

A new statistical model of tumor latency time

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

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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 language	English (US)
Pages (from-to)	251-256
Number of pages	6
Journal	Mathematical and Computer Modelling
Volume	32
Issue number	1-2
DOIs	https://doi.org/10.1016/S0895-7177(00)00132-1
State	Published - Jul 2000
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications

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10.1016/S0895-7177(00)00132-1

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title = "A new statistical model of tumor latency time",

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.",

keywords = "CED systems, Carcinogenesis, Cell dependence, Extreme value theory, Survival times, Tumor latency times",

author = "Haynatzki, {G. R.} and K. Weron and Haynatzka, {V. R.}",

note = "Funding Information: One of the authors, G. R. Haynatzki, gratefully acknowledges the support from the Department of Mathematics and Statistics of McMaster University, Canada, ae well as the Nebraska Cancer and Smoking Grant during his work on this paper.",

year = "2000",

month = jul,

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language = "English (US)",

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journal = "Mathematical and Computer Modelling",

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T1 - A new statistical model of tumor latency time

AU - Haynatzki, G. R.

AU - Weron, K.

AU - Haynatzka, V. R.

N1 - Funding Information: One of the authors, G. R. Haynatzki, gratefully acknowledges the support from the Department of Mathematics and Statistics of McMaster University, Canada, ae well as the Nebraska Cancer and Smoking Grant during his work on this paper.

PY - 2000/7

Y1 - 2000/7

N2 - 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.

AB - 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.

KW - CED systems

KW - Carcinogenesis

KW - Cell dependence

KW - Extreme value theory

KW - Survival times

KW - Tumor latency times

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DO - 10.1016/S0895-7177(00)00132-1

M3 - Article

AN - SCOPUS:0034234040

SN - 0895-7177

VL - 32

SP - 251

EP - 256

JO - Mathematical and Computer Modelling

JF - Mathematical and Computer Modelling

IS - 1-2

ER -

A new statistical model of tumor latency time

Abstract

Keywords

ASJC Scopus subject areas

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