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9.4 general linear model procedure  (SAS institute)


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    SAS institute 9.4 general linear model procedure
    9.4 General Linear Model Procedure, 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/general+linear+model+function/9+4+general+linear+model+procedure/pmc10880324-188-30-27
    Average 90 stars, based on 1 article reviews
    9.4 general linear model procedure - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Investigation on the Existence of Sex-By-Formulation Interaction in Bioequivalence Trials.
    Article Snippet: The US-FDA recommends that if a drug product is intended for use in both sexes, similar proportions should be recruited for bioequivalence studies.. In contrast, in Europe subjects can belong to either sex.. Literature suggesting the existence of sex-by-formulation interaction (SxF) is limited to few studies.

    Article Title: A tritrophic plant-insect-pathogen system used to develop a closely linked Rag2 and Rsv1-h recombinant haplotype in double-resistant soybean germplasm
    Article Snippet: Analysis of variance was conducted using the SAS 9.4 Generalized Mixed Linear Model procedure [ ].

    Article Title: Effect of biochar and inorganic fertilizer on the quality of beetroot (Beta vulgaris L.) in Kenya
    Article Snippet: The data obtained was tested for normality using the Shapiro-Wilk test; and the analysis of variance using SAS 9.4 general linear model (GLM) technique (Hodges et al., 2023).

    Article Title: Sex-by-formulation interaction in bioequivalence trials with transdermal patches.
    Article Snippet: Purpose The existence of a sex-by-formulation interaction in bioequivalence studies implies that the bioequivalence results (i.e., the test/reference ratio of the pharmacokinetic parameters) obtained in one sex are not similar to those obtained in the other sex.. Therefore, results obtained in studies including only males may not be representative of the results obtained in females and vice versa.. The best evidence of the existence of a sex-by-formulation interaction has been obtained from a study conducted with transdermal patches.

    Article Title: A tritrophic plant-insect-pathogen system used to develop a closely linked Rag2 and Rsv1-h recombinant haplotype in double-resistant soybean germplasm.
    Article Snippet: Analysis of variance was conducted using the SAS 9.4 Generalized Mixed Linear Model procedure [83].

    Article Title: Growth Performance, Blood Biochemical Indices, Rumen Bacterial Community, and Carcass Characteristics in Goats Fed Anthocyanin-Rich Black Cane Silage
    Article Snippet: Data on animal performance, blood biochemical indices, rumen fermentation, microbial community, and carcass characteristics were statistically analyzed using the SAS 9.4 general linear model procedure ( ) using the model: Y ij = μ+ τ i + ε ij , where Y ij is the response variable, μ is the overall mean, τ i is experimental diet ( i = NS or AS), and ε ij is the residual error.

    Article Title: Dietary inclusion of anthocyanin-rich black cane silage treated with ferrous sulfate heptahydrate reduces oxidative stress and promotes tender meat production in goats
    Article Snippet: Animal performance, blood biochemical indices, rumen fermentation, microbial community, carcass characteristics, and meat quality were analyzed statistically using the SAS 9.4 general linear model procedure and the following model: Y ij = μ + τ i + ε ij , where Y ij is the response variable, μ is the overall mean, τ i is the experimental diet I = ABS or ABSF), and ij is the residual error.

    Control:

    Article Title: Growth performance, nutrient digestibility, fecal microbial diversity and volatile fatty acid, and blood biochemical indices of suckling donkeys fed diets supplemented with multienzymes
    Article Snippet: .. Data on growth performance, apparent nutrient digestibility, alpha diversity, VFA and pH of fecal samples and blood biochemical indices of donkey foals were statistically analyzed using the SAS 9.4 general linear model procedure with the model: Yij = μ + τi + εij, where Yij is the response variable, μ is the overall mean, τi is the experimental diet (i = control group or multienzymes group), and εij is the residual error. ..



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