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fitted generalized linear model using the sas proc glimmix procedure version 9.1.3  (SAS institute)


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    SAS institute fitted generalized linear model using the sas proc glimmix procedure version 9.1.3
    Fitted Generalized Linear Model Using The Sas Proc Glimmix Procedure Version 9.1.3, 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/9%2E1%2E3+glimmix+procedure/software+proc+glimmix++version+9+4+system+windows/10__1080_slash_15324982__2024__2412980-77-10-13
    Average 90 stars, based on 1 article reviews
    fitted generalized linear model using the sas proc glimmix procedure version 9.1.3 - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Reducing HIV and partner violence risk among women with criminal justice system involvement: A randomized controlled trial of two Motivational Interviewing-based interventions
    Article Snippet: Outcome analyses of changes in unprotected intercourse, needle sharing, violence, and life stability over time were conducted with generalized estimating equations (GEE) (population-average models) using the SAS 9.1.3 GLIMMIX procedure.

    Article Title: Differences in Cardiovascular Disease Risk Factor Management in Primary Care by Sex of Physician and Patient
    Article Snippet: A multilevel regression analysis was performed using generalized, linear mixed models to identify patient and physician differences by sex in CVD risk factor management after controlling for patient, physician, and practice confounding variables using SAS 9.1.3 GLIMMIX procedure (SAS Institute, Cary, North Carolina).

    Article Title: Reducing HIV and partner violence risk among women with criminal justice system involvement: A randomized controlled trial of two Motivational Interviewing-based interventions
    Article Snippet: For these analyses, the Mantel-Hansel chi-square statistic in SPSS 15.0 (2006) was used for categorical variables, and the Wald statistic in the SAS 9.1.3 GENMOD procedure with a negative binomial link function ( SAS Institute, 2005 ) was used for count variables.



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