Phenomenological modeling of tumor diameter growth based on a mixed effects model
From MaRDI portal
Publication:1629067
DOI10.1016/j.jtbi.2009.10.008zbMath1403.92021OpenAlexW2028308165WikidataQ84738110 ScholiaQ84738110MaRDI QIDQ1629067
Publication date: 11 December 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2009.10.008
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Developmental biology, pattern formation (92C15)
Related Items (5)
A thermodynamic approach to the `mitosis/apoptosis' ratio in cancer ⋮ Tumor growth modeling based on cell and tumor lifespans ⋮ A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications ⋮ Mathematical and numerical analysis of low-grade gliomas model and the effects of chemotherapy ⋮ Entropy generation and cell growth with comments for a thermodynamic anticancer approach
Cites Work
- Unnamed Item
- Unnamed Item
- Maximum likelihood estimation in nonlinear mixed effects models
- Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
- Estimating the dimension of a model
- Individual-based approaches to birth and death in avascular tumors
- Convergence of a stochastic approximation version of the EM algorithm
- A mathematical model for self-limiting brain tumors
- A multiscale mathematical model of avascular tumor growth to investigate the therapeutic benefit of anti-invasive agents
- Nonlinear simulation of the effect of microenvironment on tumor growth
- Chemotherapy for tumors: An analysis of the dynamics and a study of quadratic and linear optimal controls
- A mathematical model to study the effects of drugs administration on tumor growth dynamics
- Simple ODE models of tumor growth and anti-angiogenic or radiation treatment
- A new look at the statistical model identification
This page was built for publication: Phenomenological modeling of tumor diameter growth based on a mixed effects model