Sentence examples for mixed model indicated from inspiring English sources

A generalized linear mixed model indicated that the capture rate was significantly negatively affected by the agricultural village, the city park, the rainy weather, and latitude and positively by longitude.

However, diagnostics of the mixed model indicated a very nonnormal distribution of residuals.

The linear mixed model indicated that 3 caregiver characteristics, namely caregiver age, money (caregiver's financial situation) and valuation of life as a whole were significant predictors of the patient-by-proxy VAS scores (Table  2).

Results from the linear mixed model indicate a significant difference in morphology between lizards occupying disturbed and natural habitats.

Linear mixed models indicated a significant exposure-response association between PM2.5 exposure and urinary 8-OHdG levels (p = 0.03).

Fitting generalized additive mixed models indicated that the association between gestational age at sample collection and urinary BPA concentrations was linear, and there was no interaction with PTB (data not shown).

Overall time effects analyzed by Friedman tests and generalized linear mixed models indicated significant findings for subjective health status (EQ-5D VAS) and pain/discomfort (an EQ-5D subdimension).

Regarding poplar growth, the mixed linear model indicated no consistent significant differences in terms of vegetation management, differences depending more on the proximity of S. halepense patches.

The results from the more complex mixed effects model indicated that 8 drugs are significantly changing over time, seven in the state of Paraiba and only one in the state of São Paulo.

ICC denotes Intra-class Correlation Coefficient, CV denotes Coefficient of variance and TE denotes Typical Error Results based on 10 trials from the mixed effect model indicated a statistical significant effect of age, favoring the young group in reaction time for the lower extremities (p < 0.001 −224.33 ms (95%CI −274.6 to −173.9)).

A mixed-effects model indicated that canopy density (CD), leaf area index (LAI), rate of change of wind speed were the most significant predictors influencing PMAC.