Sentence examples for models with group from inspiring English sources

A 2×2×2 analysis of variance (ANOVA) for mixed models with Group (No-Presence vs. Presence) as a between-subjects factor and Reality (Favourable vs. Unfavourable) and Reputation (Reputation Risk vs. No-Reputation Risk) as within-subject factors was run.

Therefore, a random intercept was added to the multilevel models with group (depressed or non-depressed) as the central determinant to correct for clustering of patients within GPs.

Similarly, changes in regional SERT BPND over time were assessed using linear mixed models with group as the between-subjects factor, time and ROI as repeated factors adjusted for baseline values, and subjects as the random factor.

Mean PCS and MCS scores for each of the defined "morbidity" groups were estimated using multivariate regression models with group membership, age, and an interaction term between group and age as independent variables.

Data were analyzed using linear mixed models with group, time, and group × time interactions as fixed effects, subjects (sheep) as a random effect, and vasopressor dose as a covariate.

Industry type: The model fit of the unconstrained measurement models (with groups loaded separately) had adequate fit (χ 2/DF = 1.587; CFI =0.964), indicating that the model is configurally invariant.

The variables found to be significant at the bivariate level were inserted as independent variables in two generalized linear models with groups as dependent variables (see Table 4, 5).

We show that the use of statistical finite mixture models with groups of original pixel-scale measurements, at successive spatial scales, offers improved pixel-wise classification accuracy as compared to the commonly used technique of label aggregation.

Simulations were conducted to examine attenuation in regression coefficient estimates in linear and logistic models with group-based exposure assessment and a disease with expected risk of about 10%.

Backward elimination of variables was used to select the final models with treatment group (Group), the primary effect of interest, forced into all final models.

An ANCOVA with a general linear model, with group and follow-up time point as fixed factors, was used to compare the average NRS scores at each follow-up period between the two groups.