Knowledge and Data Management White Papers
Regression Splines With Longitudinal DATA
Overview To account for the longitudinal nature of the data, a mixed model analysis implemented using SAS PROC MIXED is commonly used. It is typical to make comparisons between dose or treatment groups, possibly controlling for demographic variables. When the dose response curve is non-linear, it can be difficult to find an appropriate curve, and model misspecification is common. This paper presents an alternative to non-linear mixed models that avoids the problem of specifying a parametric model. The authors demonstrate the use of a semi-parametric regression in the mixed model framework. This use of PROC MIXED allows for nonlinear fitting with a covariance structure for the correlated observations.
| Publisher | SAS Institute | File Format | |
|---|---|---|---|
| Date Published | May 2007 | Downloads | 4 |
| Format | White Papers | ||
| Topics | |||
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