Use of log-skew-normal distribution in analysis of continuous data with a discrete component at zero

High Seng Chai, Kent R. Bailey

Research output: Contribution to journalArticle

40 Scopus citations

Abstract

The problem of analyzing a continuous variable with a discrete component is addressed within the framework of the mixture model proposed by Moulton and Halsey (Biometrics 1995; 51:1570-1578). The model can be generalized by the introduction of the log-skew-normal distribution for the continuous component, and the fit can be significantly improved by its use, while retaining the interpretation of regression parameter estimates. Simulation studies and application to a real data set are used for demonstration.

Original languageEnglish (US)
Pages (from-to)3643-3655
Number of pages13
JournalStatistics in Medicine
Volume27
Issue number18
DOIs
StatePublished - Aug 15 2008

Keywords

  • Censoring
  • Skew-normal distribution
  • Two-part model

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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