The analysis of longitudinal data using mixed model L-splines


Welham, SJ; Cullis, BR; Kenward, MG; Thompson, R; (2006) The analysis of longitudinal data using mixed model L-splines. Biometrics, 62 (2). pp. 392-401. ISSN 0006-341X DOI: https://doi.org/10.1111/j.1541-0420.2005.00500.x

Full text not available from this repository.

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.

Item Type: Article
Keywords: longitudinal data, L-splines, mixed models, residual maximum, likelihood, smoothing splines, Penalized splines, variance, regression, penalties
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
PubMed ID: 16918903
Web of Science ID: 238384500008
URI: http://researchonline.lshtm.ac.uk/id/eprint/11736

Statistics


Download activity - last 12 months
Downloads since deposit
0Downloads
279Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item