mixed-effects model repeated measurement (mmrm) model Search Results


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+%28mmrm%29+model/pmc11873539-126-1-20?v=SAS+institute
Average 90 stars, based on 1 article reviews
mixed-effects model repeated measurement (mmrm) model - by Bioz Stars, 2026-07
90/100 stars
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mmrm analyses  (SAS institute)
90
SAS institute mmrm analyses
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 Analyses, 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+%28mmrm%29+model/pmc06161555-33-7-13?v=SAS+institute
Average 90 stars, based on 1 article reviews
mmrm analyses - by Bioz Stars, 2026-07
90/100 stars
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proc mixed  (SAS institute)
90
SAS institute proc mixed
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.
Proc Mixed, 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+%28mmrm%29+model/pmc10372433-111-1-9?v=SAS+institute
Average 90 stars, based on 1 article reviews
proc mixed - by Bioz Stars, 2026-07
90/100 stars
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model  (Mallinckrodt)
86
Mallinckrodt 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.
Model, supplied by Mallinckrodt, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mixed-effects+model+repeated+measurement+%28mmrm%29+model/pmc12878071-15-13-0?v=Mallinckrodt
Average 86 stars, based on 1 article reviews
model - by Bioz Stars, 2026-07
86/100 stars
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ancovas  (SAS institute)
90
SAS institute ancovas
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.
Ancovas, 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+%28mmrm%29+model/pmc06161555-33-3-13?v=SAS+institute
Average 90 stars, based on 1 article reviews
ancovas - by Bioz Stars, 2026-07
90/100 stars
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mmrm package version 0 3 12  (Mallinckrodt)
86
Mallinckrodt mmrm package version 0 3 12
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 Package Version 0 3 12, supplied by Mallinckrodt, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mixed-effects+model+repeated+measurement+%28mmrm%29+model/pm41687241-193-26-19?v=Mallinckrodt
Average 86 stars, based on 1 article reviews
mmrm package version 0 3 12 - by Bioz Stars, 2026-07
86/100 stars
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mixed-effect model with repeated measures  (QualityMetric Incorporated)
90
QualityMetric Incorporated mixed-effect model with repeated measures
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, supplied by QualityMetric Incorporated, 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+%28mmrm%29+model/us11648232-364-14-0?v=QualityMetric+Incorporated
Average 90 stars, based on 1 article reviews
mixed-effect model with repeated measures - by Bioz Stars, 2026-07
90/100 stars
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mmrm-crt  (SAS institute)
90
SAS institute mmrm-crt
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 Crt, 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+%28mmrm%29+model/pmc07006144-174-8-14?v=SAS+institute
Average 90 stars, based on 1 article reviews
mmrm-crt - by Bioz Stars, 2026-07
90/100 stars
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mixed model for repeated measures  (SAS institute)
90
SAS institute mixed model for repeated measures
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 Model For 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+model+repeated+measurement+%28mmrm%29+model/pmc08563661-83-5-12?v=SAS+institute
Average 90 stars, based on 1 article reviews
mixed model for repeated measures - by Bioz Stars, 2026-07
90/100 stars
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sas version 9.4  (SAS institute)
90
SAS institute sas version 9.4
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.
Sas Version 9.4, 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+%28mmrm%29+model/pmc07353448-332-2-4?v=SAS+institute
Average 90 stars, based on 1 article reviews
sas version 9.4 - by Bioz Stars, 2026-07
90/100 stars
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mixed procedure version 9.4  (SAS institute)
90
SAS institute mixed procedure version 9.4
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 Procedure Version 9.4, 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+%28mmrm%29+model/pmc07006144-174-14-14?v=SAS+institute
Average 90 stars, based on 1 article reviews
mixed procedure version 9.4 - by Bioz Stars, 2026-07
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: