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linear mixed-effects models with repeated measures  (SAS institute)


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    SAS institute linear mixed-effects models with repeated measures
    Linear Mixed Effects Models With Repeated Measures, 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/mixed-effects+models+for+repeated+measures/repeated+measures+anova/pmc12094188-136-11-18
    Average 90 stars, based on 1 article reviews
    linear mixed-effects models with repeated measures - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Effects of Aliskiren Monotherapy versus Amlodipine Monotherapy in Hypertensive Patients with Obesity or Type 2 Diabetes Mellitus.
    Article Snippet: Changes in continuous variables over time were analyzed using mixed-effects models for repeated measures in the SAS package (PROCMIXED) of SAS Studio (SAS Institute, USA).

    Article Title: Cell-matrix interface regulates dormancy in human colon cancer stem cells.
    Article Snippet: Cancer relapse after chemotherapy remains a main cause of cancer-related death.. Although the relapse is thought to result from the propagation of resident cancer stem cells, a lack of experimental platforms that enable the prospective analysis of cancer stem cell dynamics with sufficient spatiotemporal resolution has hindered the testing of this hypothesis.. Here we develop a live genetic lineage-tracing system that allows the longitudinal tracking of individual cells in xenotransplanted human colorectal cancer organoids, and identify LGR5 cancer stem cells that exhibit a dormant behaviour in a chemo-naive state.



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    Change from baseline in 4‐m gait speed at Month 6 based on multiple imputation in the PP population. Missing data are imputed using multiple imputation. Analysis is based on mixed‐effect model for repeated measurements (MMRM) with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.

    Journal: Journal of Cachexia, Sarcopenia and Muscle

    Article Title: BIO101 in Sarcopenic Seniors at Risk of Mobility Disability: Results of a Double‐Blind Randomised Interventional Phase 2b Trial

    doi: 10.1002/jcsm.13750

    Figure Lengend Snippet: Change from baseline in 4‐m gait speed at Month 6 based on multiple imputation in the PP population. Missing data are imputed using multiple imputation. Analysis is based on mixed‐effect model for repeated measurements (MMRM) with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.

    Article Snippet: A mixed‐effects model repeated measurement (MMRM) model with fixed factors of treatment, centres, baseline score and sex was used (in SAS v9.3) to estimate the CFB of the 400MWT GS at Month 6/9 between each active arm and the placebo group (after adjustment for multiplicity due to the two doses of active treatment by the Hochberg procedure).

    Techniques: