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Inference on an heteroscedastic Gompertz tumor growth model

Authors :
Albano, Giuseppina
Giorno, Virginia
Román-Román, Patricia
Román-Román, Sergio
Serrano-Pérez, Juan José
Torres-Ruiz, Francisco
Source :
Mathematical Biosciences, 328, 108428, 2020
Publication Year :
2024

Abstract

We consider a non homogeneous Gompertz diffusion process whose parameters are modified by generally time-dependent exogenous factors included in the infinitesimal moments. The proposed model is able to describe tumor dynamics under the effect of anti-proliferative and/or cell death-induced therapies. We assume that such therapies can modify also the infinitesimal variance of the diffusion process. An estimation procedure, based on a control group and two treated groups, is proposed to infer the model by estimating the constant parameters and the time-dependent terms. Moreover, several concatenated hypothesis tests are considered in order to confirm or reject the need to include time-dependent functions in the infinitesimal moments. Simulations are provided to evaluate the efficiency of the suggested procedures and to validate the testing hypothesis. Finally, an application to real data is considered.<br />Comment: 44 pages, 63 figures. Includes Material Supplementary

Details

Database :
arXiv
Journal :
Mathematical Biosciences, 328, 108428, 2020
Publication Type :
Report
Accession number :
edsarx.2401.15382
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.mbs.2020.108428