Estimating Survival Times Using Swiss Hospital Data

Florian Kuhlmey () and Matthias Minke ()
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Florian Kuhlmey: University of Basel
Matthias Minke: University of Basel

Working papers from Faculty of Business and Economics - University of Basel

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.

Keywords: Survival analysis; multistate-model; data simulation; hospital discharge data (search for similar items in EconPapers)
JEL-codes: C41 C53 I12 (search for similar items in EconPapers)
Date: 2018-06-08
New Economics Papers: this item is included in nep-hea
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Persistent link: https://EconPapers.repec.org/RePEc:bsl:wpaper:2018/14

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