SAS® for mixed models (2nd edn). Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger and Oliver Schabenberger, SAS Institute, Cary, NC, 2006. No. of pages: xii + 814. Price:…

By W. John Boscardin. 2007

352 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ad77aad0c421996c5875f4881d83635dc0c0bfce

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In Biomedical Engineering

Citations in the corpus

Increased plant uptake of nitrogen from 15N-depleted fertilizer using plant growth-promoting rhizobacteria (2010, methodology): “The Glimmix procedure was used to plot diffograms (mean–mean scatter plot) and to evaluate treatment effects and their interactions (Littell et al., 2006).”
Plant Growth-Promoting Rhizobacteria Allow Reduced Application Rates of Chemical Fertilizers (2009, methodology): “Data were analyzed using GLM procedure, and Fisher's protected least significant difference (LSD) was used to separate treatment differences [24].”
A longitudinal study of principals' activities and student performance (2012, methodology): “traditional regression and ANCOVA (Littell et al., 2006; Sanders, 2006).”
Melanin-based colorations signal strategies to cope with poor and rich environments (2008, methodology): “The degrees of freedom for fixed effects were estimated according to the Satterthwaite approximation that takes the within-nestling covariance structure better into account (Littell et al. 2006).”
Coding and Centering of Time in Latent Curve Models in the Presence of Interindividual Time Heterogeneity (2008, background): “Smaller values of the latter two are taken to indicate preferable models (Littell et al., 2006).”
Anisotropic spread of hemlock woolly adelgid in the eastern United States (2009, methodology): “After visually inspecting profile plots, we decided that the spatial power function most appropriately modelled the repeated measures portion of our analysis (Littell et al. 2006).”
Response of green alder (Alnus viridis subsp. fruticosa) patch dynamics and plant community composition to fire and regional temperature in north‐western Canada (2010, methodology): “This technique uses restricted maximum likelihood to estimate variance components with both fixed and random effects and is particularly useful for unbalanced and spatially nested datasets (Buckley et al., 2003; Littell, 2006).”
The Scope of Principal Efforts to Improve Instruction (2011, methodology): “Using the notation of Littell et al. (2006), the general mathematical form of the combined model of mean and variance of instructional change is the following: Mean Instructional Change: Y ij = β 0 + β 1 (SchoolSize) + β 2 (Inst.Leadership) + α j + ε ij Variance in Instructional Change: Var[ε ij ]…”