Journal article
Viewing the Correlation Structure of Longitudinal Data through a PRISM
The American statistician, Vol.54(4), pp.310-318
11/01/2000
DOI: 10.1080/00031305.2000.10474565
Abstract
Analysis of longitudinal data using a general linear mixed model requires the specification of a form for the covariance matrix of within-subject observations. Graphical diagnostics, such as the scatterplot matrix, can be of substantial help in making this specification. I introduce another graphical diagnostic, the Partial-Regression-on-Intervenors Scatterplot Matrix (PRISM), which complements the ordinary scatterplot matrix and which is more useful for identifying certain kinds of correlation structures. PRISMs corresponding to several commonly used correlation structures are displayed. The PRISM's usefulness in model specification is illustrated with an example of longitudinal data from a 100-kilometer road race.
Details
- Title: Subtitle
- Viewing the Correlation Structure of Longitudinal Data through a PRISM
- Creators
- Dale L. Zimmerman - University of Iowa
- Resource Type
- Journal article
- Publication Details
- The American statistician, Vol.54(4), pp.310-318
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/00031305.2000.10474565
- ISSN
- 0003-1305
- eISSN
- 1537-2731
- Language
- English
- Date published
- 11/01/2000
- Academic Unit
- Biostatistics; Statistics and Actuarial Science
- Record Identifier
- 9984257613102771
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