Knowledge and Data Management White Papers
%QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares
Overview Quasi-Least Squares (QLS) is an alternative computational approach for estimation of the correlation parameter in the framework of Generalized Estimating Equations (GEE). QLS allows for easier implementation of some correlation structures that are not available for GEE. The paper describe a user-written SAS macro called %QLS, and demonstrate application of the macro using a clinical trial example for the comparison of two treatments for a common toenail infection. %QLS also computes the lower and upper boundaries of the correlation parameter for analysis of longitudinal binary data that were described by Prentice (Biometrics 44 (1988), 1033 - 1048). Furthermore, it displays a warning message if the Prentice constraints are violated.
| Publisher | SAS Institute | File Format | |
|---|---|---|---|
| Date Published | February 2009 | ||
| Format | White Papers | ||
| Topics | |||
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