Diagnostics for the exponential normal growth curve model

Laura Ring Kapitula, Edward J. Bedrick

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


The exponential normal regression model provides a flexible parametric approach to constructing growth charts or centile curves. We develop diagnostics for this model, with a special emphasis towards assessing the impact of individual cases on estimated centile curves. We also propose a standardized score residual that assesses the fit of individual cases to the location, scale, and skewness functions, respectively. An application of the proposed diagnostics is presented.

Original languageEnglish (US)
Pages (from-to)95-108
Number of pages14
JournalStatistics in Medicine
Issue number1
StatePublished - Jan 15 2005
Externally publishedYes


  • Case deletion
  • Centile curves
  • Cook's distance
  • Exponential normal model
  • Influence

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability


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