SAS for Linear Models (4th ed.)

By Cowles M.K.. 2004

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Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009, methodology): “Despite diff erent biological considerations, the only criterion used in modern linear model theory (e.g., Littell et al., 2002) for distinguishing fi xed and random eff ects is as follows.”
Clonal plant production from self- and cross-pollinated seed families of Pinus sylvestris (L.) through somatic embryogenesis (2007, methodology): “Observed p-values are denoted by lower case p, and degrees of freedom associated with F or chi-squared (v2) statistics, by d.f. Analyses were performed with the GENMOD procedure of SAS software (Version 9.1, SAS Institute Inc., NC; see also Littell et al. 2002, Chapter 10).”
Biodiversity, phenology and temporal niche differences between native- and novel exotic-dominated grasslands (2011, methodology): “Experimental response variables were analyzed with mixed model ANOVA using PROC MIXED in SAS Version 9.2 (Littell et al., 2002).”
Comparison of phenotypic and marker-based selection for Fusarium head blight resistance and DON content in spring wheat (2007, methodology): “The inclusion of covariates into the statistical model has two functions (cf. Littell et al. 2002, chapter 7: Analysis of covariance): (1) the variation in the dependent variable (modeling the trait) that is associated to the covariate is removed from the error variance, resulting in more precise…”