Modeling insight into spontaneous regression of tumors

DOI10.1016/S0025-5564(98)10052-4zbMath0943.92020WikidataQ52223853 ScholiaQ52223853MaRDI QIDQ1307677

James DiSario, Kenneth Boucher, Andrej Yu. Yakovlev

Publication date: 9 November 1999

Published in: Mathematical Biosciences (Search for Journal in Brave)

zbMATH Keywords

tumor growthasymptotic resultsGompertz birth-death processspontaneous regression

Mathematics Subject Classification ID

Applications of branching processes (60J85) Medical applications (general) (92C50)

Related Items (1)

Stochastic modeling in toxicokinetics. Application to the in vivo micronucleus assay

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A stochastic Gompertz birth-death process
• Two-event models for carcinogenesis: Incidence curves for childhood and adult tumors
• A Stochastic Model of Carcinogenesis and Tumor Size at Detection
• The proportions of individuals of different kinds in two-type populations. A branching process problem arising in biology
• On the Generalized "Birth-and-Death" Process

This page was built for publication: Modeling insight into spontaneous regression of tumors