Abstract
In Chapters 5 and 6, estimation and inference on all parameters in the marginal model (5.1) were discussed. Chapter 7 considered inference for the random effects in the hierarchical model (3.8). At present, among the most flexible commercially available statistical packages is the SAS procedure PROC MIXED (SAS 1992, 1996, 1997). In this chapter, we will therefore explain in full detail how all previously discussed inferences can be obtained with this procedure, using SAS Release 6.12 (SAS 1997). Although this may seem anomalous to many, given the availability of Version 7.0 and higher, it has to be noted that Version 7.0 (SAS 1999) was not available on a commercial basis in 1999, for example, in Europe. For a thorough description of PROC MIXED in SAS Version 7.0, we refer to the on-line manual (SAS 1999). Further, some of the important changes in comparison to Version 6.12 are summarized in Appendix A.
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© 2000 Springer-Verlag New York, Inc.
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(2000). Fitting Linear Mixed Models with SAS. In: Linear Mixed Models for Longitudinal Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22775-7_8
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DOI: https://doi.org/10.1007/978-0-387-22775-7_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95027-3
Online ISBN: 978-0-387-22775-7
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