A comparison of goodness of fit tests for age‐related reference ranges
Abstract
Age‐related reference ranges based on cubic spline or kernel‐based smoothing methods lack a parametric framework with which to assess goodness of fit, as the distribution of the log‐likelihood ratio comparing models with different degrees of smoothing is not known in general. Several methods have been proposed to assess goodness of fit in this case: Healy's grid test, Royston's Q tests and van Buuren's worm plot. Here we compare the performance of the various methods, including an extension of the Q tests, and show how they can be used, with other information including the appearance of the fitted curves, to inform the choice of model for age‐related reference ranges of height and weight in a large Dutch data set. Copyright © 2004 John Wiley & Sons, Ltd.
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Model fit was examined using residual plots, normal score plots and worm plots, and models were refitted to achieve acceptable fit, prioritising avoidance of over-fitting over improving goodness of fit.
“Model fit was examined using techniques described previously [25], including residual plots, normal score plots and worm plots. To achieve an acceptable fit, models were successively refitted adjusting the smoothing spline degrees of freedom. If the kurtosis function was largely flat the model was compared to the simpler BCCG model. Avoiding over-fitting was prioritised over improving goodness of”
From Growth standard charts for monitoring bodyweight in dogs of different sizes (2017) · cites this paper as [25]
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- Authors
- Pan, H., & Cole, T. J.
- Affiliations
- University College London (GB)
- Corresponding author
- Pan, H.
- ORCID
- Cole, T. J.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2004-05-18
- Volume
- 23
- Issue
- 11
- Pages
- 1749-1765
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2028224367
- Cited by
- 123
- References
- 15
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 2 · 2022: 6 · 2021: 4 · 2020: 11 · 2019: 7 · 2018: 1 · 2017: 12 · 2016: 8 · 2015: 6 · 2014: 9 · 2013: 12 · 2012: 8
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Statistics in Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- goodness-of-fit tests, age-related reference values, nonparametric smoothing, cubic spline smoothing, kernel smoothing, model selection, height, weight
- MeSH terms
- Adolescent, Adult, Age Factors, Anthropometry, Body Height, Body Weight, Child, Child, Preschool, Female, Humans, Infant, Male, Models, Biological, Reference Values, Models, Statistical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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