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Regression analysis of recurrent events data with incomplete observation gaps

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  • Yang-Jin Kim
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.

Suggested Citation

  • Yang-Jin Kim, 2014. "Regression analysis of recurrent events data with incomplete observation gaps," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1619-1626, July.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:7:p:1619-1626
    DOI: 10.1080/02664763.2014.885002
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    References listed on IDEAS

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