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Estimating Survival Times Using Swiss Hospital Data

Kuhlmey, Florian and Minke, Matthias. (2018) Estimating Survival Times Using Swiss Hospital Data. WWZ Working Papers, 2018 (14). Basel.

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Official URL: https://edoc.unibas.ch/64724/

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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.
Faculties and Departments:06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften > Professuren Wirtschaftswissenschaften > Public Economics / Public Finance (Hintermann)
12 Special Collections > WWZ Publications > WWZ Discussion Papers and Working Papers
UniBasel Contributors:Kuhlmey, Florian and Minke, Matthias
Item Type:Working Paper
Publisher:WWZ
Number of Pages:36
Note:Publication type according to Uni Basel Research Database: Discussion paper / Internet publication
Language:English
Identification Number:
  • handle: RePEc:bsl:wpaper:2018/14
Last Modified:22 Jun 2018 09:02
Deposited On:22 Jun 2018 09:02

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