The analysis of longitudinal data using mixed model L-splines.
Sue JWelham;
Brian RCullis;
Michael GKenward;
RobinThompson;
(2006)
The analysis of longitudinal data using mixed model L-splines.
Biometrics, 62 (2).
pp. 392-401.
ISSN 0006-341X
DOI: 10.1111/j.1541-0420.2005.00500.x
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.
Item Type | Article |
---|---|
Keywords | longitudinal data, L-splines, mixed models, residual maximum, likelihood, smoothing splines, Penalized splines, variance, regression, penalties |
ISI | 238384500008 |
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