A SAS/IML program for implementing the modified Brown-Forsythe procedure in repeated measures designs.
In this paper, we present a computer program written in version 9.1 of SAS' interactive matrix language in order to implement a new approach for analyzing repeated measures data. Previous studies reported that the new procedure is as powerful as conventional solutions and generally more robust (i.e., insensitive) to violations of assumptions that underlie conventional solutions. The program also included a step-wise procedure based on the Bonferroni inequality to test comparisons among the repeated measurements. Both univariate and multivariate repeated measures data can be analyzed. Finally, the application of the SAS/IML program is illustrated with a numeric example.
Vallejo
Guillermo
G
Methodology Area, Department of Psychology, University of Oviedo, Plaza Feijóo, s/n, E-33003 Oviedo, Spain. qvallejo@uniovi.es
Moris
Joaquín
J
Conejo
Nélida M
NM
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy; D000704:Analysis of Variance; D001699:Biometry; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data; D018894:Reverse Transcriptase Inhibitors / Q000627:therapeutic use; D012984:Software
D018894:Reverse Transcriptase Inhibitors