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proc catmod (categorical data analysis procedures  (SAS institute)


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    SAS institute proc catmod (categorical data analysis procedures
    Proc Catmod (Categorical Data Analysis Procedures, 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/data+analysis+procedures/proc+catmod/pmc10247184-92-17-24
    Average 90 stars, based on 1 article reviews
    proc catmod (categorical data analysis procedures - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Nutritional Solution for the Italian Heavy Pig Production to Improve Nitrogen Efficiency While Maintaining Productive Performance and Meat Quality.
    Article Snippet: All data were analyzed through the analysis of variance with the GLM procedure of SAS version 9.4 for Windows (SAS Institute Inc., Cary, NC, USA).

    Article Title: Forage maize type influences on methane emissions, nutrient degradation, and fermentation profiles in ruminants
    Article Snippet: The analysis of variance for all data was performed using the SAS’s GLM procedures (version 9.4) using the model: Y ij = μ + α i + ε ij , where Y ij is the value of each individual observation for the dependent variables, μ the overall mean, α i the effect of treatment, and ε ij the random residual error.

    Article Title: Effects of Hot Pepper Waste Powder on Meat Quail Performance, Carcass Yield, and Small Intestine Microflora
    Article Snippet: The data obtained from the experiment were subjected to analysis of variance with the General Linear Model (PROC GLM) procedure in accordance with the trial model (Random Plot Trial Plan) using the SAS ( ) package program.

    Article Title: Effects of Hot Pepper Waste Powder on Meat Quail Performance, Carcass Yield, and Small Intestine Microflora.
    Article Snippet: The data obtained from the experiment were subjected to analysis of variance with the General Linear Model (PROC GLM) procedure in accordance with the trial model (Random Plot Trial Plan) using the SAS (1996) package program.

    Article Title: Cereal crop following organic intercrops and their respective monocultures in the semiarid Canadian Prairie
    Article Snippet: Data were subjected to analysis of variance using the generalized linear mixed model (GLIMMIX) procedure in SAS 9.4 (SAS Institute, 2013), with treatment as a fixed effect and year and block nested within year (block(year)) as random effects.

    Article Title: Forage maize type influences on methane emissions, nutrient degradation, and fermentation profiles in ruminants.
    Article Snippet: The analysis of variance for all data was performed using the SAS’s GLM procedures (version 9.4) using the model: Yij = μ + αi + εij, where Yij is the value of each individual observation for the dependent variables, μ the overall mean, αi the effect of treatment, and εij the random residual error.

    Article Title: Dietary Addition of Tributyrin Improved the Production Performance, Antioxidant Ability and Intestinal Health in Weaned Rabbits.
    Article Snippet: Statistical Analysis All data were analyzed using the general statistical linear model (GLM) procedure of SAS 9.0 software (SAS Inst.



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    Univariate and multivariate linear regression analyses of factors associated with 17‐item Hamilton Rating Scale for Depression (HAMD‐17) score in obstructive sleep apnea (OSA) patients.

    Journal: Brain and Behavior

    Article Title: Cortical activation during the verbal fluency task for obstructive sleep apnea patients with depressive symptoms: A multi‐channel fNIRS study

    doi: 10.1002/brb3.70038

    Figure Lengend Snippet: Univariate and multivariate linear regression analyses of factors associated with 17‐item Hamilton Rating Scale for Depression (HAMD‐17) score in obstructive sleep apnea (OSA) patients.

    Article Snippet: All fNIRS data analysis procedures were accomplished under MATLAB R2013b.

    Techniques: