Open AccessStatistical methods and models in the analysis of time to event data
Author(s) -
Minjung Lee,
Junhee Han
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2019.12.66
Subject(s) - censoring (clinical trials) , event (particle physics) , event data , covariate , survival analysis , statistics , proportional hazards model , computer science , data mining , econometrics , mathematics , physics , quantum mechanics
Time to event data are common in medical research, where outcomes are the time until the occurrence of an event of interest that are subject to censoring. The main goal for the analysis of time to event data is to investigate the effects of covariates on the hazard for an event of interest and estimate the survival probability.
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