title: Parameter estimation in a Gompertzian stochastic model for tumor growth.
abstract: The problem of estimating parameters in the drift coefficient when a diffusion process is observed continuously requires some specific assumptions. In this paper, we consider a stochastic version of the Gompertzian model that describes in vivo tumor growth and its sensitivity to treatment with antiangiogenic drugs. An explicit likelihood function is obtained, and we discuss some properties of the maximum likelihood estimator for the intrinsic growth rate of the stochastic Gompertzian model. Furthermore, we show some simulation results on the behavior of the corresponding discrete estimator. Finally, an application is given to illustrate the estimate of the model parameters using real data.
authors: Institute of Biomedical Science, Faculty of Medicine, University of Ancona, Monte d'Ago, I 60131 Ancona, Italy. Ferrante@popcsi.unian.it
authors: L
authors: L
authors: Ferrante
authors: S
authors: S
authors: Bompadre
authors: L
authors: L
authors: Possati
authors: L
authors: L
authors: Leone
mesh_terms: D020533:Angiogenesis Inhibitors / Q000627:therapeutic use; D000818:Animals; D000903:Antibiotics, Antineoplastic / Q000627:therapeutic use; D001699:Biometry / Q000379:methods; D002455:Cell Division; D004214:Distamycins / Q000627:therapeutic use; D006801:Humans; D051379:Mice; D008819:Mice, Nude; D015233:Models, Statistical; D012514:Sarcoma, Kaposi / Q000188:drug therapy / Q000473:pathology; D013269:Stochastic Processes; D014183:Transplantation, Heterologous
chemical_list: D020533:Angiogenesis Inhibitors; D000903:Antibiotics, Antineoplastic; D004214:Distamycins; C113015:PNU 153429