title: Diagnostics for the exponential normal growth curve model.
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.
authors.affiliation: Behavioral Health Research Center of the Southwest, 612 Encino Place, NE, Albuquerque, NM 87102, USA.
authors.forename: Laura Ring
authors.initials: LR
authors.lastname: Kapitula
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Bedrick
mesh_terms: 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
chemical_list: D007074:Immunoglobulin G