Sentence examples for mixed models demonstrated from inspiring English sources

Generalized linear mixed models demonstrated that neither spring dispersal (movements or area traversed) were correlated with TSF, age, or sex (n = 114), further demonstrating a minimal effect of prescribed fire; however, dispersal areas were greater in 2013 than in 2014 (P < 0.05).

Second, analyses using mixed modelling demonstrated that the LPS-stored group had lower PaO2 values post-transfusion compared to both the LPS-control and LPS-fresh groups (Table 2).

Our 3-way mixed model demonstrates that proteinuria modifies the time relationship between eGFR and the RESPONDER vs. NON-RESPONDER groups (p = 0.03), however it does not predict the change in eGFR over time.

The mean P-ADL sum-score increased over time (see Table  2), indicating a worsening in P-ADL functioning, confirmed by a linear mixed model demonstrating a significant trend in time.> -wrap-foot> Higher P-ADL score indicates poorer functioning.

The mixed effect models demonstrated significant interaction effects between group and time on all outcome measures.

Longitudinal mixed models further demonstrate that eGFR levels declined at an accelerating rate as the AER levels progressed from normal, to microalbuminuria and to macroalbuminuria.

Linear mixed model analysis demonstrated that AL decreased after treatment was commenced in patients with SCZ and FEP between the baseline assessment and the 6 and 12-week follow-up.

Unadjusted mixed model results demonstrated that O monitors more frequently underestimated than overestimated P TE exposures for elements associated with non-crustal sources.

A mixed random effects model demonstrated significant sequence effects for both nevirapine log transformed Cmax (p<0.0001) and AUC (p<0.0001) as outcomes.

Results of mixed linear regression modeling demonstrated significant differences in global cognitive function over time between treated patients and untreated patients.

Experimental tests and numerical analyses using a trapezoidal cohesive mixed-mode damage model demonstrated the good performance of the new method, namely when compared to classical data reduction schemes.