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general linear mixed model (glmm) analysis  (SAS institute)


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    SAS institute general linear mixed model (glmm) analysis
    General Linear Mixed Model (Glmm) Analysis, 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+mixed+model+(glmm)+analysis/general+linear+mixed+model/pm40299433-110-7-14
    Average 90 stars, based on 1 article reviews
    general linear mixed model (glmm) analysis - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Neighbor-Stranger Discrimination On the Basis of A Threat Vocalization In the Great Black-Backed Gull
    Article Snippet: —Neighbor-stranger discrimination is the ability to recognize and respond differentially to familiar and unfamiliar conspecifics.. This type of recognition is common in species that aggressively defend territories, such as the colonially nesting Great Black-backed Gull (Larus marinus).. This species has a large agonistic signal repertoire, which includes the ‘‘yeow,’’ a short-range threat vocalization.

    Article Title: Liver transcriptome profiling and functional analysis of intrauterine growth restriction (IUGR) piglets reveals a genetic correction and sexual-dimorphic gene expression during postnatal development.
    Article Snippet: Statistical analysis was performed using the general linear mixed model (GLMM) procedure in SAS version 9.4 (Statistical Analysis System Institute Inc., USA).

    Article Title: Evaluation of lung function in a German single center cohort of young patients with sickle cell disease using EIT and standard techniques
    Article Snippet: Statistical analysis was performed with a general linear mixed model (GLMM) (PROC GLIMMIX, SAS9.4, SAS Institute Inc., Cary, United States), assuming a normal distribution except for cell counts (e.g., platelets), which are distributed negatively binomially.

    Article Title: Different Effects of Riociguat and Vericiguat on Pulmonary Vessels and Airways.
    Article Snippet: Statistical analysis was performed using a general linear mixed model (GLMM) analysis (PROC GLIMMIX, SAS 9.4, SAS Institute Inc., Cary, NC, USA) assuming a normal distribution (lung function parameters of ILP, cytokines/chemokines), and beta distribution (change of initial area in precision-cut lung slices) of the data.



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