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As such, a statistical analysis employing a multiple linear modelling procedure is considered beneficial.
Evidence of phenotypic differences in all parameters between lines and across generations (where the co-selection data were analysed separately from the cross-infection study data) was investigated using a general linear modelling procedure (GLM procedure) applied with the SAS Software v.8 (SAS Inst. 1999).
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Main effects of line, generation, experience and their interactions on developmental functions were estimated using hierarchical linear modelling procedures.
using the general linear model procedure.
This model form is executed using the generalized linear model procedure PROC GENMOD in the SAS statistical software [19].
All data were subjected to analysis of variance using the general linear models procedure (SAS Institute, Cary, NC).
Analyses of variances (ANOVA) were made with the General Linear Model Procedure of SAS statistical software version 8.1 (SAS Institute 2003).
The general linear model procedure of the SAS software package (SAS Institute Inc. 2009) is employed for this purpose.
All parametric analyses were undertaken using the general linear model procedure within the SAS software package (SAS-Institute-Inc. 2008).
General linear model procedure of statistical analytical system was used to obtain the variance components for the estimation of heritability.
Balance data were analyzed using a general linear model procedure with horse, period and treatment as main effects.
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