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Data were analyzed using the mixed model procedures of SAS.
To model procedures with aftereffect, it is not sufficient to employ ordinary or partial differential equations.
Data were analyzed as a complete randomized block design using mixed model procedures.
Using general linear model procedures in SAS®, analysis of variance (ANOVA) was performed on ln-transformed AUC0 72 and Cmax.
Data were analyzed using generalized linear mixed model methodology, and loading time was analyzed using mixed model procedures.
Loading time was analyzed using mixed model procedures, and stress responses were analyzed using generalized linear mixed model methodology.
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using the general linear model procedure.
Data were analyzed using a mixed model procedure.
This study applied KE and Data mining based on model procedure as presented by Schütte and Eklund (2005).
This model form is executed using the generalized linear model procedure PROC GENMOD in the SAS statistical software [19].
Differences in plasma FABP levels between individual time periods were compared using t tests of the mixed model procedure.
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