ITEM METADATA RECORD
Title: The detection of residual serial correlation in linear mixed models
Authors: Verbeke, Geert ×
Lesaffre, Emmanuel
Brant, L J #
Issue Date: Jun-1998
Series Title: Statistics in medicine vol:17 issue:12 pages:1391-402
Abstract: Diggle (1988) described how the empirical semi-variogram of ordinary least squares residuals can be used to suggest an appropriate serial correlation structure in stationary linear mixed models. In this paper, this approach is extended to non-stationary models which include random effects other than intercepts, and will be applied to prostate cancer data, taken from the Baltimore Longitudinal Study of Aging. A simulation study demonstrates the effectiveness of this extended variogram for improving the covariance structure of the linear mixed model used to describe the prostate data.
URI: 
ISSN: 0277-6715
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

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