Diagnostics for the exponential normal growth curve model

Laura Ring Kapitula; Edward J. Bedrick

doi:10.1002/sim.1919

Diagnostics for the exponential normal growth curve model

Laura Ring Kapitula
, Edward J. Bedrick

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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)
Pages (from-to)	95-108
Number of pages	14
Journal	Statistics in Medicine
Volume	24
Issue number	1
DOIs	https://doi.org/10.1002/sim.1919
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

Access to Document

10.1002/sim.1919

Cite this

@article{0e4c2d39f82e49c1bd48a4ba0fdad536,

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.",

keywords = "Case deletion, Centile curves, Cook's distance, Exponential normal model, Influence",

author = "Kapitula, \{Laura Ring\} and Bedrick, \{Edward J.\}",

year = "2005",

month = jan,

day = "15",

doi = "10.1002/sim.1919",

language = "English (US)",

volume = "24",

pages = "95--108",

journal = "Statistics in Medicine",

issn = "0277-6715",

publisher = "John Wiley and Sons Ltd",

number = "1",

}

TY - JOUR

T1 - Diagnostics for the exponential normal growth curve model

AU - Kapitula, Laura Ring

AU - Bedrick, Edward J.

PY - 2005/1/15

Y1 - 2005/1/15

N2 - 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.

AB - 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.

KW - Case deletion

KW - Centile curves

KW - Cook's distance

KW - Exponential normal model

KW - Influence

UR - https://www.scopus.com/pages/publications/11344293354

UR - https://www.scopus.com/pages/publications/11344293354#tab=citedBy

U2 - 10.1002/sim.1919

DO - 10.1002/sim.1919

M3 - Article

C2 - 15517601

AN - SCOPUS:11344293354

SN - 0277-6715

VL - 24

SP - 95

EP - 108

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 1

ER -

Diagnostics for the exponential normal growth curve model

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this