{"id":2608,"date":"2012-03-10T15:21:49","date_gmt":"2012-03-10T14:21:49","guid":{"rendered":"https:\/\/staging.biofizika.hr\/?p=2608"},"modified":"2025-07-13T17:25:46","modified_gmt":"2025-07-13T15:25:46","slug":"analiza-dozivljenja-i-coxova-regresija","status":"publish","type":"post","link":"https:\/\/biofizika.hr\/en\/2012\/03\/10\/analiza-dozivljenja-i-coxova-regresija\/","title":{"rendered":"Survival analysis and Cox regression"},"content":{"rendered":"
Lecturer<\/h3>\n\n\n\n
prof. Ph.D. sc. ANAMARIJA JAZBEC Faculty of Forestry, University of Zagreb<\/p>\n\n\n\n
Date and time<\/h3>\n\n\n\n
Wednesday, March 21, 2012<\/p>\n\n\n\n
Location<\/h3>\n\n\n\n
Seminar F-201, Faculty of Science - Department of Physics, Bijeni\u010dka cesta 32, Zagreb<\/p>\n\n\n\n
Abstract<\/h3>\n\n\n\n
Experience analysis<\/strong> (engl. survival analysis) is the analysis of a specific event over time. Therefore, in order for the analysis of experience to be applied, the data must contain the time of an event being tracked. Experience analysis has two basic advantages over standard statistical methods: \u2013 censoring (right, left, interval) \u2013 time-varying variables. Censoring represents the unknown time at which an event occurred. In right-censored data, the event occurred after the time to which it is being tracked. population. In left-censored data, the event occurred before the population was monitored. Interval-censored data are those for which we do not know the exact time of the event, but we know that it occurred within a certain interval that we are observing.<\/p>\n\n\n\n
Cox regression<\/strong> When we want to estimate the influence of individual independent variables on a dependent variable that, in addition to the information about whether an event occurred or not, also has information about the time when that event occurred, and when we do not know the probability distribution of the event, we use Cox regression. For comparison, when we only have information about whether an event occurred or not, we use logistic regression. The Cox regression model is based on the assumption of proportional hazards and does not assume a specific probability distribution for the survival function. Therefore, for that model says it is a semi-parametric model.<\/p>\n\n\n\n