Graduation Year
2013
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Science
Department
Mathematics
Reader 1
Lisette G. de Pillis
Reader 2
Ami Radunskaya
Terms of Use & License Information
Rights Information
© 2013 Elizabeth A. Sarapata
Abstract
Determining the dynamics and parameter values that drive tumor growth is of great interest to mathematical modelers, experimentalists and practitioners alike. We provide a basis on which to estimate the growth dynamics of ten different tumors by fitting growth parameters to at least five sets of published experimental data per type of tumor. These timescale tumor growth data are also used to determine which of the most common tumor growth models (exponential, power law, logistic, Gompertz, or von Bertalanffy) provides the best fit for each type of tumor. In order to compute the best-fit parameters, we implemented a hybrid local-global least squares minimization algorithm based on a combination of Nelder-Mead simplex direct search and Monte Carlo Markov Chain methods.
Recommended Citation
Sarapata, Elizabeth A., "A Comparison and Catalog of Intrinsic Tumor Growth Models" (2013). HMC Senior Theses. 52.
https://scholarship.claremont.edu/hmc_theses/52
