Giuseppina Albano/Virginia Giorno: A stochastic model in tumor growth.
J. Theor. Biol. 242 (2006), 329-336.

Giuseppina Albano/Virginia Giorno: Towards a stochastic two-compartment
model in tumor growth. Sci. Math. Jap. ... (2008), 15-28.

26963 Jules Berman/G. Moore: The role of cell death in the growth of preneoplastic lesions -
a Monte Carlo simulation model. Cell Prolif. 25 (1992), 549-557.

26541 Richard Durrett: Branching process models of cancer. Internet 2014, 63p.

21266 Hiroshi Haeno/Ross Levine/D. Gilliland/Franziska Michor: A progenitor
cell origin of myeloid malignanicies.
Proc. Nat. Ac. Sci. USA 106/39 (2009), 16616-16621.

19440 Francesca Ieva/Gabriele Martinelli: Modelli stocastici e deterministici
per la crescita tumorale - teoria e simulazione.
Tesi LT Polit. Milano ca. 2005, 96p.

18502 Natalia Komarova/Philip Cheng: Epithelial tissue architecture
protects against cancer. Math. Biosci. 200 (2006), 90-117.

19782 Ivar Oestby/Leiv Oeyehaug/Harald Steen: A stochastic model of cancer
initiation including a bystander effect.
J. Theor. Biol. 241 (2006), 751-764.

11994 Svetlozar Rachev: Review of the book "Stochastic models of
tumor latency and their biostatistical applications" by Yakovlev/Tsodikov.
Bull. Math. Biol. 59 (1997), 404-406.

Wai-Yuan Tan: Stochastic models of carcinogenesis. Dekker 1991.
Focused on Markovian models of the initiation and promotion stages
of carcinogenesis.

22317 Wai-Yuan Tan: Stochastic models with applications to genetics,
cancers, AIDS and other biomedical systems.
World Scientific 2002, 440p. Eur 64.

1019 Petre Tautu (ed.): Stochastic spatial processes.
SLN Math. 1212 (1986).

19397 Andrej Yakovlev: Threshold models of tumor recurrence.
Math. Comp. Mod. 23/6 (1996), 153-164.

Andrej Yakovlev/A. Tsodikov: Stochastic models of tumor latency and their
biostatistical applications.
World Scientific 1996, 290p. 981-02-1831-1. $65. Contents:
Mathematical description of tumor latency; Regression analysis of tumor
recurrence data; Threshold data of tumor latency; Statistical analysis
of discrete cancer surveillance; Minimum delay time approach; Optimal
strategies of cancer surveillance; Minimum cost approach.