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Abstract

There could be covariates that are related to transition probabilities, but not related to duration times to the next event, or vice versa, in event history analyses. A method is proposed in this paper that estimates those relationships, separately, by using an accelerated failure time model. The method is applied to the data taken from individuals staying at home and having government care service, where different levels of care are provided to care need individuals based on their severities officially recognized. It is shown among others that family and disease are significantly related to duration times to the next event, but not related to transition probabilities.

Journal

  • Bulletin of informatics and cybernetics

    Bulletin of informatics and cybernetics (42), 71-79, 2010-12

    Research Association of Statistical Sciences

Codes

  • NII Article ID (NAID)
    120005208806
  • NII NACSIS-CAT ID (NCID)
    AA10634475
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    0286-522X
  • Data Source
    IR 
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