2019
DOI: 10.1016/j.radonc.2018.09.007
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Competing risks in survival data analysis

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Cited by 35 publications
(28 citation statements)
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“…Competing risk regression models are crucial to estimate the actual individual risk in a time-to-event analysis. [ 26 , 27 ] In this study, both the SD model and the CS model illustrated the circumstances in which the positive association of GSD and cholecystectomy with new-onset PLC cases. There is a substantial difference between the CS model and the SD model, and the application of either model should be dependent on research purposes.…”
Section: Discussionmentioning
confidence: 77%
“…Competing risk regression models are crucial to estimate the actual individual risk in a time-to-event analysis. [ 26 , 27 ] In this study, both the SD model and the CS model illustrated the circumstances in which the positive association of GSD and cholecystectomy with new-onset PLC cases. There is a substantial difference between the CS model and the SD model, and the application of either model should be dependent on research purposes.…”
Section: Discussionmentioning
confidence: 77%
“…The estimated cumulative incidence curves and discontinuation ratio of each agent defined by specific reasons at 36 months were examined by Gray's test [27,28]. The discontinuation ratio of the agents at 36 months was analyzed and statistically compared using the Fine-Gray hazard competing risk regression model [27,28], adjusted by potential confounders that may influence drug retention as previously described (age, sex, disease duration, concomitant PSL and MTX usage, starting date, and number of switched bDMARDs) [1,9,11,12,29]. Statistical analyses were performed using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan), a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria) [30].…”
Section: Discussionmentioning
confidence: 99%
“…Another issue that is often observed in observational studies with survival or time-to-event analysis is the competing risk bias. By definition, a competing risk is an event that modifies the chance of J o u r n a l P r e -p r o o f occurrence of the primary event of interest and can occur when a patient is at risk of more than one type of event [15]. Competing risk events are frequently observed in hospital epidemiology when the follow-up ends with hospital discharge.…”
Section: Introductionmentioning
confidence: 99%