Diagnostics for the exponential normal growth curve model.
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.
Kapitula
Laura Ring
LR
Behavioral Health Research Center of the Southwest, 612 Encino Place, NE, Albuquerque, NM 87102, USA.
Bedrick
Edward J
EJ
D000886:Anthropometry; D002648:Child; D002675:Child, Preschool; D006128:Growth / Q000502:physiology*; D006801:Humans; D007074:Immunoglobulin G / Q000097:blood; D007223:Infant; D008954:Models, Biological; D015233:Models, Statistical; D012016:Reference Values
D007074:Immunoglobulin G