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master's thesis
Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja
Zagreb: University of Zagreb, Faculty of Science, 2022. urn:nbn:hr:217:876788
Šinka, Petra
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

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Šinka, P. (2022). Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:876788

Šinka, Petra. "Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:876788

Šinka, Petra. "Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:876788

Šinka, P. (2022). 'Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:876788

Šinka P. Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:876788

P. Šinka, "Analiza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:217:876788

Metadata
TitleAnaliza pojavnosti ne-Hodgkinovog limfoma u bolesnika sa Sjoegrenovim sindromom metodama analize doživljenja
Title (english)Analysis of the occurrence of non-Hodgkin's lymphoma in patients with Sjogren's syndrome using experience analysis methods
AuthorPetra Šinka
MentorAnamarija Jazbec (mentor)
Committee memberDražen Adamović (predsjednik povjerenstva)
Committee memberAnamarija Jazbec (član povjerenstva)
Committee memberDamir Bakić (član povjerenstva)
Committee memberIgor Pažanin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2022-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovom radu obrađena je analiza doživljenja, skupina statističkih metoda koje se koriste za obradu učestalosti nekog događaja te vremena potrebnog do pojave tog događaja. Prezentiran je i Coxov regresijski model kojim se procjenjuje utjecaj određenih faktora na vrijeme doživljenja. Ova je teorija zatim primijenjena na podatke o skupini ljudi s dijagnosticiranim Sjoegrenovim sindromom za koje se promatralo hoće li razviti ne-Hodgkinov limfom, tzv. događaj od interesa. Utjecaj lijekova i drugih faktora na vrijeme doživljenja modeliran je Coxovom regresijom.
Abstract (english)
This master’s thesis gives a general theoretical introduction to the so-called survival analysis, a branch of statistics used for analyzing the expected duration of time until the event of interest occurs. Some factors might affect survival time, their influence is modeled using Cox regression. Discussed theory is then applied to the dataset of patients diagnosed with Sjoegren’s syndrome for whom was observed whether they would develop non-Hodgkin’s lymphoma or not. Cox regression is used to assess the effects that potentital risk factors, such as medications which suppress immune system, might have on the survival time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:876788
Study programmeTitle: Mathematical Statistics
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 on2022-11-09 11:50:54