prikaz prve stranice dokumenta Modeling avascular tumour growth
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master's thesis
Modeling avascular tumour growth
Zagreb: University of Zagreb, Faculty of Science, 2024. urn:nbn:hr:217:523901
Žnidar, Vanna
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

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Žnidar, V. (2024). Modeling avascular tumour growth (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:523901

Žnidar, Vanna. "Modeling avascular tumour growth." Master's thesis, University of Zagreb, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:217:523901

Žnidar, Vanna. "Modeling avascular tumour growth." Master's thesis, University of Zagreb, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:217:523901

Žnidar, V. (2024). 'Modeling avascular tumour growth', Master's thesis, University of Zagreb, Faculty of Science, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:523901

Žnidar V. Modeling avascular tumour growth [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2024 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:217:523901

V. Žnidar, "Modeling avascular tumour growth", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:217:523901

Metadata
TitleModeling avascular tumour growth
Title (croatian)Modeliranje rasta avaskularnog tumora
AuthorVanna Žnidar
MentorMiljenko Huzak (mentor)
MentorInga Urlić (sumentor)
Committee memberMiljenko Huzak (predsjednik povjerenstva)
Committee memberInga Urlić (član povjerenstva)
Committee memberMiljenko Marušić (član povjerenstva)
Committee memberJosip Tambača (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2024-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
In this thesis, the aim was to analyze the growth of tumour spheroids using the Gompertz, logistic, classical von Bertalanffy and general models of growth. The data set contains average volumes of 16 multicellular tumour spheroids of chondroblastic osteosarcoma tumours measured at 7 time points. The models were fitted to the data and compared. The Gompertz and classical von Bertalanffy models provided poor fits to the data, while the logistic and general models fit the data well. To decide which model is the best, the post hoc analysis was used. The F-test showed that there is no sufficient evidence to conclude that the models are significantly different in terms of their effectiveness. Since the logistic model has one parameter less than the general model, it is more parsimonious and should be used for further analysis.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:217:523901
Study programmeTitle: Biomedical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-25 10:07:00