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multiple-linear regression model  (SAS institute)


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    SAS institute multiple-linear regression model
    Multiple Linear Regression Model, 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/multiple+linear+regression+model/multiple+regression+model/pmc11381414-159-7-26
    Average 90 stars, based on 1 article reviews
    multiple-linear regression model - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Improved method for calibration of exchange flows for a physical transport box model of Tampa Bay, FL USA
    Article Snippet: The seven coefficients were estimated using a full multiple linear regression model applied to the gauged basins (SAS software) with no intercept (following Zarbock et al., 1994 ).

    Article Title: Association between Perceived Stress and Rhinitis-Related Quality of Life: A Multicenter, Cross-Sectional Study
    Article Snippet: The relationship between perceived stress and RQLQ was estimated by adjusting the known confounders and covariates using the multiple regression model. All analyses were performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC, USA), and a p value < 0.05 was considered statistically significant.

    Software:

    Article Title: Characterization of best linear unbiased estimates generated from national genetic evaluations of reproductive performance, survival, and milk yield in dairy cows.
    Article Snippet: .. The association between each herd-level characteristic and each of the 6 averaged BLUE (i.e., age at first calving, calving to first service interval, calving interval, number of services, survival, and milk yield) was quantified using a linear mixed multiple regression model in SAS 9.4 software (SAS Institute Inc., Cary, NC), where the dependent variable was the herd-year average BLUE. ..

    Article Title: Modulating antibody N-glycosylation through feed additives using a multi-tiered approach
    Article Snippet: .. After all data was obtained, a multiple-linear regression model comprising the main effects, all two-factor interactions, and all quadratic effects was fitted in JMP 17 software (SAS). ..

    Selection:

    Article Title: Short communication: Finetuning molecular markers for efficient selection of vitamin A-rich tropical maize lines in a molecular breeding scheme
    Article Snippet: Maize (Zea mays) is an important cereal crop grown in 86% of subSaharan Africa (SSA) countries, constituting a staple food for over 50% of the population (Badu-Apraku and Fakorede, 2017).. Incidentally, SSA is a region plagued by vitamin A deficiency (48%) (Stevens et al., 2015).. The genetic variation for carotenoid components and allelic diversity of carotenoid biosynthesis genes has positioned maize Pro-Vitamin A (PVA) biofortification as an effective and sustainable approach to combat Vitamin A deficiency.

    Transformation Assay:

    Article Title: Exploring vaginal discharge scoring to assess clinical metritis severity: Comparison between intrauterine dextrose and systemic antibiotics treatments.
    Article Snippet: .. A mixed multiple linear regression model was used to analyze these variables (SAS), and for BCS, HP, BHB, daily milk yield and daily rumination time, the REPEATED statement was included in the model. Due to lack of normality, the BHB (i.e., root square) variable was transformed. ..



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