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- W2025119070 abstract "For analyzing recurrent event data, either total time scale or gap time scale is adopted according to research interest. In particular, gap time scale is known to be more appropriate for modeling a renewal process. In this paper, we adopt gap time scale to analyze recurrent event data with repeated observation gaps which cannot be observed completely because of unknown termination times of observation gaps. In order to estimate termination times, interval-censored mechanism is applied. Simulation studies are done to compare the suggested methods with the unadjusted method ignoring incomplete observation gaps. As a real example, conviction data set with suspensions is analyzed with suggested methods." @default.
- W2025119070 created "2016-06-24" @default.
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- W2025119070 date "2014-02-06" @default.
- W2025119070 modified "2023-09-26" @default.
- W2025119070 title "Regression analysis of recurrent events data with incomplete observation gaps" @default.
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- W2025119070 doi "https://doi.org/10.1080/02664763.2014.885002" @default.
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