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Additive hazards regression of current status data with auxiliary covariates

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  • Yanqin Feng
  • Yuan Dong
  • Yang Li

Abstract

This paper discusses the regression analysis of current status failure time data arising from the additive hazards model with auxiliary covariates. As often occurs in practice, it is impossible or impractical to measure the exact magnitude of covariates for all subjects in a study. To compensate the missing information, some auxiliary covariates are utilized instead. We propose two easy-to-implement procedures for estimation of regression parameters by making use of auxiliary information. The asymptotic properties of the resulting estimators are established and extensive numerical studies indicate that both procedures work well in practice.

Suggested Citation

  • Yanqin Feng & Yuan Dong & Yang Li, 2017. "Additive hazards regression of current status data with auxiliary covariates," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(21), pages 10657-10671, November.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:21:p:10657-10671
    DOI: 10.1080/03610926.2016.1242737
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