A multiple imputation approach to the analysis of current status data with the additive hazards model

Ling Chen, Jianguo Sun

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This article discusses regression analysis of current status data, which occur in many fields including cross-sectional studies, demographical investigations, and tumorigenicity experiments (Keiding, 1991; Sun 2006). For the problem, we focus on the situation where the survival time of interest can be described by the additive hazards model and a multiple imputation approach is presented for inference. A major advantage of the approach is its simplicity and it can be easily implemented by using the existing software packages for right-censored failure time data. Extensive simulation studies are conducted and indicate that the approach performs well for practical situations and is comparable to the existing methods. The methodology is applied to a set of current status data arising from a tumorigenicity experiment and the model checking is discussed.

Original languageEnglish
Pages (from-to)1009-1018
Number of pages10
JournalCommunications in Statistics - Theory and Methods
Volume38
Issue number7
DOIs
StatePublished - Apr 15 2009

Keywords

  • Additive hazards model
  • Current status data
  • Multiple imputation
  • Tumorigenicity experiment

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