Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/185816
Authors: 
Kuhlmey, Florian
Minke, Matthias
Year of Publication: 
2018
Series/Report no.: 
WWZ Working Paper 2018/14
Abstract: 
We compare and evaluate two different approaches to estimate overall survival curvesfrom censored data of recurrent events: (1) standard survival time analysis, and (2) a multistate framework that explicitly estimates the mortality rate during censored periods. With both models, we estimate disease-specific survival curves with data from the Swiss Federal Statistical Office's medical statistics on hospitals (MedStat). Using cancer registry data as a benchmark for overall survival, we find that the accuracy of survival time estimates based on the multistate model are not superior to the simpler single-risk model. Although the computationally demanding multistate model is less accurate in predicting survival times, it may nevertheless be useful if intermediate transitions are the targeted issues.
Subjects: 
survival analysis
multistate-model
data simulation
hospital discharge data
JEL: 
C41
C53
I12
Document Type: 
Working Paper
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