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PROC MEANS procedure of Statistical Analytical Systems (SAS) 9.3 (SAS 2012) was used to estimate the descriptive statistics, viz.
General linear model procedure of statistical analytical system was used to obtain the variance components for the estimation of heritability.
General linear model procedure of statistical analytical system was used to obtain the variance components for the estimation of repeatability.
General linear model procedure of statistical analytical system (SAS) was used to obtain the variance components for the estimation of repeatability.
Data were analysed by two-way analysis of variance (ANOVA) using the general linear model (GLM) procedure of statistical analysis software (SAS).
General linear procedure of statistical analysis software was employed to detect significant effects with a confidence level of 95%, and means were separated with new Duncan's multiple range test.
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The drug response signatures were generated using a two-step procedure consisting of statistical feature selection, to reduce the complexity of the datasets, followed by a classification algorithm, to weight each feature's contribution to the overall prediction.
Data regarding antibody responses, lymphoproliferation assays, cytokine production, and percentages of CD4+ and CD8+ T cells were statistically analyzed by the procedure of SAS (Statistical Analysis System, version 8.0) using the method of one-way ANOVA.
Analyses of variances (ANOVA) were made with the General Linear Model Procedure of SAS statistical software version 8.1 (SAS Institute 2003).
Experimental data were analyzed using the response surface regression procedure of a statistical analysis system (NemrodW version 2000 LPRAI, Marseille, France).
The estimates of σg2, σgy2, and σe2 were obtained by analysis of variance (ANOVA) using the general linear model procedure of the statistical software SPSS 12.0.
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