Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
467117 | Computer Methods and Programs in Biomedicine | 2009 | 6 Pages |
Abstract
The clustered permutation test is a nonparametric method of significance testing for correlated data. It is often used in cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or control intervention. We describe a flexible and efficient SAS macro that implements the 2-sample clustered permutation test. We discuss the theory and applications behind this test as well as details of the SAS code.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Margaret R. Stedman, David R. Gagnon, Robert A. Lew, Daniel H. Solomon, Elena Losina, M. Alan Brookhart,