Abstract
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 language | English (US) |
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Pages (from-to) | 95-108 |
Number of pages | 14 |
Journal | Statistics in Medicine |
Volume | 24 |
Issue number | 1 |
DOIs | |
State | Published - Jan 15 2005 |
Externally published | Yes |
Keywords
- Case deletion
- Centile curves
- Cook's distance
- Exponential normal model
- Influence
ASJC Scopus subject areas
- Epidemiology
- Statistics and Probability