110379 20220210105304.0 TAZ-TFG-2021-2788 spa Plou Izquierdo, Carlos Survival analysis and cure models. Application to COVID-19 data. Análisis de supervivencia y modelos cure. Aplicación a la COVID-19. Zaragoza Universidad de Zaragoza 2021 by-nc-sa Creative Commons 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ Survival 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 /> Graduado en Matemáticas Derechos regulados por licencia Creative Commons Sanz Sáiz, Gerardo dir. Universidad de Zaragoza Métodos Estadísticos Estadística e Investigación Operativa 756111@unizar.es 972591 http://zaguan.unizar.es/record/110379/files/TAZ-TFG-2021-2788.pdf Memoria (spa) oai:zaguan.unizar.es:110379 driver trabajos-fin-grado TAZ TFG CIEN 20210625123658.CREATION_DATE deposita:2022-02-10