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sas macro glimmix  (SAS institute)


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    SAS institute sas macro glimmix
    Sas Macro Glimmix, 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/sas+glimmix+macro/sas+macro+glimmix/pmc01764189-122-19-18
    Average 90 stars, based on 1 article reviews
    sas macro glimmix - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: School-based programmes for preventing smoking
    Article Snippet: Evid.-Based Child Health 8:5: 1616–2040 (2013) Main results One hundred and thirty-four studies involving 428,293 participants met the inclusion criteria.. Some studies provided data for more than one group.. Pure Prevention cohorts (Group 1) included 49 studies (N = 142,447).

    Article Title: Daily Interactions in the Parent-Adult Child Tie: Links between Children’s Problems and Parents’ Diurnal Cortisol Rhythms
    Article Snippet: We estimated models using the SAS GLIMMIX macro with binomial outcomes.

    Article Title: School‐based programmes for preventing smoking
    Article Snippet: Based on yes/no to ever use 0.0366 (0.0264, 0.0504) Mean (CI) ever tried (from SAS PROC Mixed and SAS Glimmix Macro).

    Article Title: Daily Interactions with Aging Parents and Adult Children: Associations with Negative Affect and Diurnal Cortisol
    Article Snippet: We estimated the models using the SAS GLIMMIX macro with binomial outcomes.

    Article Title: Area-level poverty and preterm birth risk: A population-based multilevel analysis
    Article Snippet: Data were analyzed with SAS GLIMMIX macro (version 9.1, SAS Institute Inc., Cary, NC).


    Control:

    Article Title: Training health professionals in smoking cessation
    Article Snippet: .. Methods , Country: USA Design: Randomized controlled trial; Clustered Objective: To test the effect of modest intensity, practical systems changes that might increase the delivery of smoking cessation treatment within VAMCs (Veterans' Medical Centres); Authors hypothesized that an intervention addressing common barriers to delivery of smoking cessation treatment at the organisation level (as opposed to provider or patient level) might be an effective strategy to improve compliance with guideline recommendations; The trial was designed to test the effectiveness of this intervention Methods of analysis: McNemar odds on change to assess differences in the change between intervention groups; Pearson Chi2 statistic to compute the significant of the resulting odds ratio between the intervention and control group; Differences in smoking cessation rates were determined via the Pearson Goodness‐of‐Fit Chi2 statistic; Change scores were used for continuous variables and the relative difference in change was measured using the Wilcoxon rank sum test; Logistic regression was used for binary outcomes; SAS glimmix macro was used to incorporate the design effect and allow for the binary outcome Clustering adjustment made: Yes ‐ SAS glimmix macros used to incorporate the design effects Significance of cluster adjustment: Not reported , . .. Participants , Therapist description: Physicians, nurses, psychologists and pharmacists were present at the training meeting Eligible for study: n= 164 VAMCs (Veteran Medical Centres) nationwide Randomized: Intervention n= 10; Control n= 10 Completed: Intervention n= 10; Control n= 10 Age: Not reported Gender: Not reported Patient description: A random selection of patients who had seen their primary care provider (at VAMCs) within 6 weeks were phoned for baseline surveys; Current smokers were identified and underwent 1 year follow‐up also via phone Eligible for study: Cohort n= 5793; Eligible n= 5367 Randomized: Intervention n= 2112; Control n= 2142 Completed: Intervention n= 641; Control n= 783 Age: Baseline ‐ Intervention 64.6 years; Control 63.1 years; Follow‐up ‐ Intervention 64.9 years; Control 63.8 years Gender: Baseline (male) ‐ Intervention 96.1%; Control 95.3%; Follow‐up ‐ Intervention 95.8%; Control 98.0% , .



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