Sentence examples for models showed statistically from inspiring English sources

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The models showed statistically significant relationships between traffic and early morning particulate air pollution [(PM2.5 p = 0.021) and PM10 (p = 0.048)], traffic and morning rush hour CO (p = 0.048), traffic and afternoon rush hour CO (p = 0.034) and wind and early morning CO (p = 0.044).

Multivariate models showed statistically significant differences between groups.

All models showed statistically significant departures from perfect calibration, both on the H-L and on the Cox calibration test.

Comparisons of the BLUP and Bayesian mixture models showed statistically significant differences mainly for milk protein, which is consistent with previously reported results for protein and fertility [ 6, 31].

Further details on non-responders are provided in Additional file 3. The unadjusted simple regression estimates obtained from bivariate models showed statistically significant positive associations between age, "Bad" health status and utilisation of any type of physician (in- or outpatient) (Table  2) and GPs (Table  3).

Similar(55)

Regarding the impact of migration experience on HISB on the Internet, the multivariate regression models show statistically significant differences between the extreme groups "own migration background" and "no migration background".

The combined result, based on a fixed effects model, showed statistically significant reduction in severity of obesity (pooled MD=1.56 kg, 95% CI=0.74 2.38) with no heterogeneity among styles of acupuncture (I2=28%) (Figure 6).

Analyses using a linear model and a generalised linear mixed model showed statistically significant relationships between perceived naturalness of landscapes and their aesthetic ratings, and among ratings of perceived naturalness and ecological integrity and morphological condition.

The model showed statistically insignificant lack of fit, as is evident from the P value of 0.088.

For example, a Lagrangian Multiplier test for heteroskedastic errors in the HMNL model showed statistically significant unobserved variation that is explained by gender, age, education and employment status.

The model showed statistically insignificant lack of fit for both responses, as is evident from the P value of 0.775 and 0.695 respectively, in case of soil release rating and K/S value.

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