A - Papers appearing in refereed journals
Welham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R. 2006. The analysis of longitudinal data using mixed model L-splines. Biometrics. 62 (2), pp. 392-401. https://doi.org/10.1111/j.1541-0420.2005.00500.x
Authors | Welham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R. |
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Abstract | L-splines area large family of smoothing splines defined in terms of a linear differential operator. This article develops L-splines within the context of linear mixed models and uses the resulting mixed model L-spline to analyze longitudinal data from a grassland experiment. In the spirit of time-series analysis, a periodic mixed model L-spline is developed, which partitions data into a smooth periodic component plus smooth long-term trend. |
Keywords | Biology; Mathematical & Computational Biology; Statistics & Probability |
Year of Publication | 2006 |
Journal | Biometrics |
Journal citation | 62 (2), pp. 392-401 |
Digital Object Identifier (DOI) | https://doi.org/10.1111/j.1541-0420.2005.00500.x |
PubMed ID | 16918903 |
Open access | Published as non-open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | 513 |
Development of population genetic models and statistical methods for inferring parameters | |
Research in statistics relevant to biological processes | |
Output status | Published |
Publication dates | |
Online | 15 Dec 2005 |
Publication process dates | |
Accepted | Sep 2005 |
Copyright license | Publisher copyright |
Publisher | Wiley |
ISSN | 0006-341X |
Permalink - https://repository.rothamsted.ac.uk/item/89q36/the-analysis-of-longitudinal-data-using-mixed-model-l-splines
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