Review



mixed-effects model repeated measurement (mmrm) model  (SAS institute)


Bioz Verified Symbol SAS institute is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    SAS institute mixed-effects model repeated measurement (mmrm) model
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mixed Effects Model Repeated Measurement (Mmrm) 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/mixed-effects+model+repeated+measurement+(mmrm)+model/mixed+model+repeated+measures+regression/pmc11873539-126-1-20
    Average 90 stars, based on 1 article reviews
    mixed-effects model repeated measurement (mmrm) model - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "BIO101 in Sarcopenic Seniors at Risk of Mobility Disability: Results of a Double‐Blind Randomised Interventional Phase 2b Trial"

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

    Journal: Journal of Cachexia, Sarcopenia and Muscle

    doi: 10.1002/jcsm.13750

    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.
    Figure Legend 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.

    Techniques Used:

    Related Articles

    Functional Assay:

    Article Title: Fremanezumab for preventive treatment of migraine
    Article Snippet: Using analyses of covariance (ANCOVAs) and a mixed-effects model repeated measurement (MMRM) analyses (SAS version 9.2, SAS Institute, Cary, NC), we analyzed the change from baseline in the mean number of days each possible response was given per survey question.

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



    Similar Products

    mixed-effects model repeated measurement (mmrm) model  (SAS institute)
    90
    SAS institute mixed-effects model repeated measurement (mmrm) model
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mixed Effects Model Repeated Measurement (Mmrm) 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/mixed-effects+model+repeated+measurement+(mmrm)+model/mixed+model+repeated+measures+regression/pmc11873539-126-1-20
    Average 90 stars, based on 1 article reviews
    mixed-effects model repeated measurement (mmrm) model - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    multivariate mixed effect models for repeated measures (mmrm)  (Mallinckrodt)
    90
    Mallinckrodt multivariate mixed effect models for repeated measures (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Multivariate Mixed Effect Models For Repeated Measures (Mmrm), supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/mixed+model+for+repeated+measures++mmrm+/pmc11225631-206-13-34
    Average 90 stars, based on 1 article reviews
    multivariate mixed effect models for repeated measures (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    mixed effect model with repeated measures (mmrm)  (National Research Council Canada)
    90
    National Research Council Canada mixed effect model with repeated measures (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mixed Effect Model With Repeated Measures (Mmrm), supplied by National Research Council Canada, 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+model+repeated+measurement+(mmrm)+model/10__1007_slash_s10882___022___09851___y-233-11-19
    Average 90 stars, based on 1 article reviews
    mixed effect model with repeated measures (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    mixed effects models for repeated measures (mmrm)  (Mallinckrodt)
    90
    Mallinckrodt mixed effects models for repeated measures (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mixed Effects Models For Repeated Measures (Mmrm), supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/linear+mixed+effects+modelling+approach+for+repeated+measures/pm29461924-18-5-7
    Average 90 stars, based on 1 article reviews
    mixed effects models for repeated measures (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    linear mixed-effects modeling approach for repeated measures (mmrm)  (Mallinckrodt)
    90
    Mallinckrodt linear mixed-effects modeling approach for repeated measures (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Linear Mixed Effects Modeling Approach For Repeated Measures (Mmrm), supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/linear+mixed+effects+modelling+approach+for+repeated+measures/pmc04569948-61-19-22
    Average 90 stars, based on 1 article reviews
    linear mixed-effects modeling approach for repeated measures (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    restricted maximum likelihood (reml)-based mixed effects model repeated measures (mmrm) approach  (National Research Council Canada)
    90
    National Research Council Canada restricted maximum likelihood (reml)-based mixed effects model repeated measures (mmrm) approach
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Restricted Maximum Likelihood (Reml) Based Mixed Effects Model Repeated Measures (Mmrm) Approach, supplied by National Research Council Canada, 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+model+repeated+measurement+(mmrm)+model/pm24813026-88-20-20
    Average 90 stars, based on 1 article reviews
    restricted maximum likelihood (reml)-based mixed effects model repeated measures (mmrm) approach - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    mixed-effect model repeated measured (mmrm)  (Mallinckrodt)
    90
    Mallinckrodt mixed-effect model repeated measured (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mixed Effect Model Repeated Measured (Mmrm), supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/linear+mixed+effects+modelling+approach+for+repeated+measures/10__1080_slash_19466315__2013__847383-157-5-31
    Average 90 stars, based on 1 article reviews
    mixed-effect model repeated measured (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    mmrm (mixed-effects model repeated measures) model  (Mallinckrodt)
    90
    Mallinckrodt mmrm (mixed-effects model repeated measures) model
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Mmrm (Mixed Effects Model Repeated Measures) Model, supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/mmrm/pm19764951-55-5-13
    Average 90 stars, based on 1 article reviews
    mmrm (mixed-effects model repeated measures) model - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    linear mixed-effects modelling approach for repeated measures (mmrm)  (Mallinckrodt)
    90
    Mallinckrodt linear mixed-effects modelling approach for repeated measures (mmrm)
    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 <t>(MMRM)</t> with treatment, visit, center, gender, and treatment * visit as fixed effects and baseline value as a covariate. LS, least square; SE, standard error.
    Linear Mixed Effects Modelling Approach For Repeated Measures (Mmrm), supplied by Mallinckrodt, 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+model+repeated+measurement+(mmrm)+model/linear+mixed+effects+modelling+approach+for+repeated+measures/pm18206909-44-21-27
    Average 90 stars, based on 1 article reviews
    linear mixed-effects modelling approach for repeated measures (mmrm) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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: