Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A semiparametric method to measure predictive accuracy of covariates for doubly censored survival outcomes

  • Han, Seungbong (Department of Applied Statistics, Gachon University) ;
  • Lee, JungBok (Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center)
  • Received : 2016.03.17
  • Accepted : 2016.05.18
  • Published : 2016.07.31
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Abstract

In doubly-censored data, an originating event time and a terminating event time are interval-censored. In certain analyses of such data, a researcher might be interested in the elapsed time between the originating and terminating events as well as regression modeling with risk factors. Therefore, in this study, we introduce a model evaluation method to measure the predictive ability of a model based on negative predictive values. We use a semiparametric estimate of the predictive accuracy to provide a simple and flexible method for model evaluation of doubly-censored survival outcomes. Additionally, we used simulation studies and tested data from a prostate cancer trial to illustrate the practical advantages of our approach. We believe that this method could be widely used to build prediction models or nomograms.

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References

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