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master's thesis
Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom
Zagreb: University of Zagreb, Faculty of Science, 2021. urn:nbn:hr:217:957320
Barbarić, Andrea
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Barbarić, A. (2021). Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:957320

Barbarić, Andrea. "Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:957320

Barbarić, Andrea. "Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:957320

Barbarić, A. (2021). 'Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom', Master's thesis, University of Zagreb, Faculty of Science, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:217:957320

Barbarić A. Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2021 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:217:957320

A. Barbarić, "Analiza utjecaja promatranih varijabli na bolest srca logističkom regresijom", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:217:957320

Metadata
TitleAnaliza utjecaja promatranih varijabli na bolest srca logističkom regresijom
Title (english)Analysis of the influence of the observed variables on heart disease by logistic regression
AuthorAndrea Barbarić
MentorAnamarija Jazbec (mentor)
Committee memberAnamarija Jazbec (predsjednik povjerenstva)
Committee memberVanja Wagner (član povjerenstva)
Committee memberMarko Tadić (član povjerenstva)
Committee memberLjiljana Arambašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2021-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovome radu opisane su glavne značajke logističkog regresijskog modela te njegova usporedba s linearnom regresijom. Predstavljen je način procjene i interpretacije parametara u modelu te odabir najadekvatnijeg modela. Zatim je u drugom dijelu ta teoretska podloga primijenjena na konkretnim podacima. Točnije, baza podataka sastoji se od 297 opservacija koje predstavljaju pacijente i 14 varijabli koje predstavljaju određene podatke o njihovu zdravstvenom stanju na prijemu u bolnicu. Na temelju toga, cilj je bio procijeniti koje varijable i koliko statistički značajno utječu na pojavu bolesti srca kod osobe. Pri izradi najadekvatnijeg modela korištene su univarijatna i multivarijatna logistička regresija te procedura Stepwise. Dobiveno je da na razvoj bolesti srca najviše utječu spol, tip boli u prsima, krvni tlak u mirovanju, vršni nagib ST-segmenta u pokretu, broj vidljivih glavnih krvnih žila tijekom fluoroskopije, rezultati talij testa, te angina izazvana tjelesnom aktivnošću.
Abstract (english)
This thesis describes the main features of the logistic regression model and its comparison with linear regression. It presents the method of estimation and interpretation of model parameters as well as the selection of the most adequate model. In the second part, this theoretical basis was applied to concrete data. Specifically, the database consists of 297 observations representing patients and 14 variables representing information about their health status at hospital admission. Based on this, the aim was to assess which variables have statistically significant effect on the occurrence of heart disease. Univariate and multivariate logistic regression and Stepwise procedure were used in the development of the most adequate model. The results have shown that heart disease is mostly affected by gender, chest pain type, resting blood pressure, the slope of the peak exercise ST-segment, number of major vessels colored by fluoroscopy, thallium test results and exercise induced angina.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:957320
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
Embargo expiration date: 2021-12-31
Terms of useLicence In copyright icon
Created on2021-03-23 09:42:44