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Diagnostics for the exponential normal growth curve model
Author(s) -
Kapitula Laura Ring,
Bedrick Edward J.
Publication year - 2004
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1919
Subject(s) - skewness , residual , exponential function , parametric statistics , statistics , growth curve (statistics) , scale (ratio) , computer science , parametric model , exponential growth , regression analysis , mathematics , econometrics , algorithm , mathematical analysis , physics , quantum mechanics
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. Copyright © 2004 John Wiley & Sons, Ltd.