Skip to main content
Article
The analysis of longitudinal data using mixed model L-splines
Faculty of Informatics - Papers (Archive)
  • S. J Welham, Rothamsted Research, UK
  • Brian R Cullis, University of Wollongong
  • M. J Kenward, London School of Hygiene and Tropical Medicine
  • R Thompson, Rothamsted Research, UK
RIS ID
34294
Publication Date
1-1-2006
Publication Details

Welham, S. J.., Cullis, B. R., Kenward, M. J.. & Thompson, R. (2006). The analysis of longitudinal data using mixed model L-splines. Biometrics, 62 (2), 392-401.

Abstract

L-splines are a 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.

Citation Information
S. J Welham, Brian R Cullis, M. J Kenward and R Thompson. "The analysis of longitudinal data using mixed model L-splines" (2006) p. 392 - 401
Available at: http://works.bepress.com/bcullis/28/