dc.contributor.advisor | Kvaløy, Jan | |
dc.contributor.author | Khawar, Isra | |
dc.date.accessioned | 2019-10-23T08:54:40Z | |
dc.date.available | 2019-10-23T08:54:40Z | |
dc.date.issued | 2019-06 | |
dc.identifier.uri | http://hdl.handle.net/11250/2623872 | |
dc.description | Master's thesis in Mathematics and physics | nb_NO |
dc.description.abstract | In this thesis, basic concepts of survival analysis such as censoring, truncation and survival functions are described. Measures of survival ( i.e
overall survival, net survival and relative survival ratio) and regression
models such as Cox regression for overall hazard ratios and excess hazard
regression model for excess hazard ratios are discussed. Cox regression
model estimates the overall risk(hazard) whereas excess mortality pro-
vided by relative survival estimates the risk due to cancer. Kaplan-Meier
curves are used to estimate the survival curve, to estimate regression coefficient, partial likelihood estimate is used. The main focus is to study the
comparison between overall survival and relative survival ratio and apply
this on non-curable colon and rectum data, derived from a research project
on patients who received non-curative treatment due to an incurable disease
or other reasons preventing curative surgery. The data is obtained from
Cancer Registry of Norway, Norweigan patient registry and population
data from Statistics Norway between 2008 and 2015. The results pro-
vided by comparison shows how much change the risk of death is if death
only because of cancer is considered and when other causes of death are
involved. Regression analysis is done in two ways, 1. univariate analysis
in which each covariate affect the analysis individually and 2. multivariate
analysis in which all covariates together affect the analysis. The software
R is used for analysis and to plot survival curves and other graphs used. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | University of Stavanger, Norway | nb_NO |
dc.relation.ispartofseries | Masteroppgave/UIS-TN-IMF/2019; | |
dc.subject | Kaplan-Meier estimate | nb_NO |
dc.subject | Cox’s proportional hazard model | nb_NO |
dc.subject | matematikk | nb_NO |
dc.subject | fysikk | nb_NO |
dc.subject | overall survival | nb_NO |
dc.subject | kreft | nb_NO |
dc.subject | incurable cancer patients | nb_NO |
dc.subject | uhelbredelig kreft | nb_NO |
dc.subject | net survival | nb_NO |
dc.subject | relative survival | nb_NO |
dc.subject | excess hazard ratio | nb_NO |
dc.subject | univariate and multivariate analysis | nb_NO |
dc.subject | relsurv package in R | nb_NO |
dc.subject | naturvitenskap | nb_NO |
dc.title | Overall and relative Survival for Cancer Patients | nb_NO |
dc.type | Master thesis | nb_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400 | nb_NO |