000110379 001__ 110379 000110379 005__ 20220210105304.0 000110379 037__ $$aTAZ-TFG-2021-2788 000110379 041__ $$aspa 000110379 1001_ $$aPlou Izquierdo, Carlos 000110379 24200 $$aSurvival analysis and cure models. Application to COVID-19 data. 000110379 24500 $$aAnálisis de supervivencia y modelos cure. Aplicación a la COVID-19. 000110379 260__ $$aZaragoza$$bUniversidad de Zaragoza$$c2021 000110379 506__ $$aby-nc-sa$$bCreative Commons$$c3.0$$uhttp://creativecommons.org/licenses/by-nc-sa/3.0/ 000110379 520__ $$aSurvival analysis is the branch of Statistics that deals with the variable ``time to occurrence of a given event''. Such an event is typically addressed, albeit not exclusively, to health research. However, it may belong to different knowledge areas such as engineering, economy or demography. We will focus our attention on usual survival models and in one that has received a great impulse in recent years: the cure model. This model is characterised by the fact that not every individual considered in the study must experience the event. In this project, we will therefore apply all these concepts to a COVID-19 dataset.<br />The coronavirus disease-2019 (COVID-19) was declared as a pandemic on 11 March 2020. Since then, multiple studies have been carried out to identify and explore the key features of the disease - for example, the basic reproduction number, the fatality rate or even potential factors and treatments. In particular, we have put the focus on covid patients. By using a COVID-19 database, we have performed this study with the aim of analysing different parameters: the probability of being admitted to the intensive care unit (ICU) upon hospitalisation, time from hospital admission to ICU admission and the ICU length-of-stay according to the information of each individual.<br /><br /> 000110379 521__ $$aGraduado en Matemáticas 000110379 540__ $$aDerechos regulados por licencia Creative Commons 000110379 700__ $$aSanz Sáiz, Gerardo$$edir. 000110379 7102_ $$aUniversidad de Zaragoza$$bMétodos Estadísticos$$cEstadística e Investigación Operativa 000110379 8560_ $$f756111@unizar.es 000110379 8564_ $$s972591$$uhttps://zaguan.unizar.es/record/110379/files/TAZ-TFG-2021-2788.pdf$$yMemoria (spa) 000110379 909CO $$ooai:zaguan.unizar.es:110379$$pdriver$$ptrabajos-fin-grado 000110379 950__ $$a 000110379 951__ $$adeposita:2022-02-10 000110379 980__ $$aTAZ$$bTFG$$cCIEN 000110379 999__ $$a20210625123658.CREATION_DATE