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Mixed Model Repeated Measures (MMRM) using an unstructured covariance matrix were used to investigate outcomes (Raudenbush & Bryk, 2001).
Effect sizes for MMRM contrasts were derived by dividing test estimates by the square root of the sum of the variance estimates at each relevant time point minus 2 times the covariance estimate between the time points; if the contrasts were at the same time point, the square root of the variance estimate at that time point was used as the denominator.
At the time, and for many years, MMRM was the largest and most sophisticated computing center in the country.
The unique role of MMRM in the Israeli computing milieu is manifested through commonly used linguistic coins like "MMRM graduate," which designates its holders as belonging to an "elite clique" by virtue of their service experience.
Las variaciones de la riqueza de aves fue mejor explicada por el modelo que incluyo la variabilidad del hidroperiodo anual y de las estaciones, mientras que la interaccion entre estas dos variables y el hidroperiodo mensual, no presentaron diferencias estadisticamente significativas (MMRM; P = 0.90) (Fig.
Sin embargo, la abundancia de aves fue mas baja en el ano de sequia durante la primavera (MMRM; t= 4.49; E.E.= 42.03; P = 0.015) y el verano (MMRM; t = 7.12; E.E.= 42.03; P = 0.001) (Fig.
The between-treatment difference in mean IOP change from baseline favored TFC at all postbaseline visits (Table 2), and results were similar in the MMRM analysis.
Continuous data were analyzed using a mixed model of repeated measures (MMRM) with visit, treatment, and country, stratification groups as fixed factors and baseline as a covariate, all nested within visit.
Mixed-model repeated measures (MMRM) analyses were used because of the ability of this approach to accommodate clustering effects, appropriately model the relationship between measures over time and to include participants with missing data (Brown & Prescott, 2006; Donner & Klar, 2000).
The second half offers details on mixed models for repeated measures (MMRM), multiple imputations, analysis with lacunae assumed to be nonrandom, and doubly robust estimation.
The primary objective was evaluated with a mixed-model repeated measures (MMRM) analysis.
[19.] Bevilacqua MC, Berretin-Felix G, Vieira MMRM, Prado LM, Campos K, Goncalves TS, et al.
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