Estimating Survival Times Using Swiss Hospital Data

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Estimating Survival Times Using Swiss Hospital Data

Discussion paper / Internet publication

ID	4480784
Author(s)	Kuhlmey, Florian; Minke, Matthias
Author(s) at UniBasel	Kuhlmey, Florian Minke, Matthias
Year	2018
Month and day	06-08
Title	Estimating Survival Times Using Swiss Hospital Data
Series title	WWZ Working Papers
Volume	2018
Number	14
Pages	36
Publisher / Institution	WWZ
Keywords	Survival analysis; multistate-model; data simulation; hospital discharge data
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.
edoc-URL	https://edoc.unibas.ch/64724/
Full Text on edoc	Available

26/04/2024

Research Database / FORSCHUNGSDATENBANK