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The multilevel approach to repeated measures for complete and incomplete data

Abstract:

Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternative approach is provided by multilevel analysis, also called the hierarchical linear model (HLM), which makes use of random coefficient models. This paper is a tutorial which indicates that the HLM can be specified in many different ways, corresponding to different sets of assumptions about the covariance matrix of the repeated measurements. The possible assumptions range from the very restricti...

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Publication status:
Published

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Publisher copy:
10.1023/A:1022545930672

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Journal:
QUALITY and QUANTITY More from this journal
Volume:
37
Issue:
1
Pages:
71-89
Publication date:
2003-01-01
DOI:
ISSN:
0033-5177
Language:
English
Keywords:
Pubs id:
pubs:97791
UUID:
uuid:d47f2567-1bcb-4737-b861-7e4b4be96212
Local pid:
pubs:97791
Source identifiers:
97791
Deposit date:
2012-12-19

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