Sentence examples for mixed model condition from inspiring English sources

For the mixed model condition and using bestML trees, ASTRAL is the most accurate of these methods, MP-EST the next most accurate, followed by the other summary methods, and finally by CA-ML.

Mixed model (condition by time by order) ANOVAs were conducted on affective responses and RPE to explore differences between the self-selected and prescribed exercise sessions across time points (min 1, 5, 10, 15, 20) as repeated measures factors and order (prescribed first or second) as a between-subjects factor.

Following normalization, we analyzed intensities for cdtB, hlyE, STY1499, pltA, pltB, and slyA using log-transformed data fitting a mixed linear model (condition and dye) and slide as the random effect.

A mixed model with conditions (stirring/shearing versus unstirred/unsheared, or 5 min versus 120 min, respectively) and mouse strain (WT versus Thbs1−/−) as fixed factors and date of experiments and animal within date of experiment as nested random factors were used for ANOVA.

Where appropriate, moderating effects were investigated within condition via the same mixed model but with the condition term and its interactions omitted.

Comparisons between conditions will be undertaken using linear mixed model analysis with conditions treated as a fixed effect and subject, and trial number within a condition as a random effect.

A mixed model ANOVA with condition and session as within-subject factors and species as between-subject factor indicated that subjects performed better in the platform compared to the tube condition (F1,16 = 3.46, P = 0.04, one-tailed) and improved their performance across sessions (F2,16 = 5.99, P = 0.006).

Comparisons of physiological parameters among the different ventilator conditions were made using a mixed model in which ventilator condition (the four combinations of tidal volume and PEEP) was the fixed effect and animal number was the random effect to account for correlations from repeated measures within each animal.

Four cases had values of empirical α<.05: RCT 8 under completers only, RCT 9 under MI (monotone), RCT 5 under Mixed I Cont., and RCT 5 under Mixed I Cat. Only the mixed model approaches led to some conditions with values of empirical α>.05, i.e., excess type-1 error rates.

We used a mixed model ANOVA with feedback condition and learning phase as fixed effects, subjects as random effects and nested into the group variable.

For the overall mixed model, the Time × Condition interaction was significant, F 4, 53) = 2.60, p =.047 (see Fig. 2).