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general linear model function  (SAS institute)


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    SAS institute general linear model function
    General Linear Model Function, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/linear+model+function+lm/general+linear+model+function/pmc04406365-121-19-24
    Average 90 stars, based on 1 article reviews
    general linear model function - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Prescribed defoliation strategies influence soil carbon and nitrous oxide potential in pastures
    Article Snippet: Assigned to Associate Editor Rebecca Ryals.. Funding information Grant number NRAC437-DC_NRCS_Coop awarded by the USDA Natural Resource Conservation Service.. Abstract Cool-season perennial grasslands are commonly used for livestock pasture.

    Article Title: Robust Three-Dimensional (3D) Expansion of Bovine Intestinal Organoids: An In Vitro Model as a Potential Alternative to an In Vivo System
    Article Snippet: Data were analysed by evaluating the differences among treatments using Duncan’s multiple range tests through the general linear model function and Student’s t -test of the SAS software (Systat, Cary, NC, USA).

    Article Title: Egg Quality Parameters, Production Performance and Immunity of Laying Hens Supplemented with Plant Extracts
    Article Snippet: The data were analyzed by one-way analysis of variance (ANOVA) using the General Linear Model function (GLM) of the SAS Statistical Package Program (SAS, 2005, Version 9.0, Cary, NC, USA).

    Article Title: Estimation of (co)variance components, genetic parameters, and genetic trends of growth traits in community-based breeding programs of Bonga sheep.
    Article Snippet: The data were analyzed by SAS (2012) using its General Linear Model function to assess the fixed effects of nongenetic viz; year of birth (7 levels: 2012–2018), lamb sex (2 levels), type of birth (3 levels: single, twin, triple and above), season of birth (2 levels: wet and dry), dam parity (7 levels: parity 1–6 and 7 and above) and CBBP cooperative (14 levels) on different growth traits.

    Article Title: Natural variation in teosinte at the domestication locus teosinte branched1 ( tb1 )
    Article Snippet: We analyzed relationships between genotype and tillering index and tiller number using a repeated measures ANOVA through a general linear model function implemented in SAS v.9.3 (SAS Institute Inc., Cary, North Carolina, USA).

    Article Title: Virulence of Two Isolates of Meloidogyne enterolobii (Guava Root-Knot Nematode) from North Carolina on Cotton Lines Resistant to Southern Root-Knot Nematode ( M. incognita ) and Reniform Nematode ( Rotylenchulus reniformis )
    Article Snippet: Data collected from each experiment were analyzed separately using the general linear model function and analysis of variance with SAS version 9.4 (SAS Institute).

    Comparison:

    Article Title: Recovery of microorganisms on fabric materials after low water temperature washing with non-oxidizing acidic bleaching formulation by culture method.
    Article Snippet: .. The data analyses were performed by the General Linear Model function and Tukey’s multiple comparison testing with SAS, version 9.2, statistical program (SAS Institute, Cary, NC) to determine the level of significance between the effects of the types of bleaching solutions, types of materials and washing time on the removal of the tested microorganisms. ..

    Sampling:

    Article Title: Metabolic profile of Japanese Black breeding cattle herds: usefulness in selection for nutrient supplementation to enhance reproductive performance and regional differences.
    Article Snippet: .. The results of serum biochemical analysis collected both in the prepartal and in the postpartal periods were compared among sampling areas by ANOVA using the General Linear Model function of SAS. ..



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