The analysis of longitudinal data using mixed model L-splines

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.

AuthorsWelham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R.
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.

KeywordsBiology; Mathematical & Computational Biology; Statistics & Probability
Year of Publication2006
JournalBiometrics
Journal citation62 (2), pp. 392-401
Digital Object Identifier (DOI)doi:10.1111/j.1541-0420.2005.00500.x
PubMed ID16918903
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or code513
Development of population genetic models and statistical methods for inferring parameters
Research in statistics relevant to biological processes
Output statusPublished
Publication dates
Online15 Dec 2005
Publication process dates
AcceptedSep 2005
Copyright licensePublisher copyright
PublisherWiley
ISSN0006-341X

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