Sentence examples for modelling revealed significant from inspiring English sources

The χ2 test indicated significant deviations from the expected haplotype frequencies in cases and controls of all populations except German Fleckvieh and logistic regression modelling revealed significant contrasts in the ORs.

Mixed-effects logistic regression modeling revealed significant relationships of both closer proximity to diagnosis and female sex with greater likelihood to be prescribed a serotonergic antidepressant.

Furthermore, some models revealed significant changes in surface albedo, latent heat flux, and available energy in the 10% exceedance region.

Finally, comparisons of the observed thresholds with existing models revealed significant discrepancies between the predicted and measured values.

Results from generalized linear multilevel modeling revealed significant fixed linear effects of time on depression, quality of life, global eating pathology, and binge frequency (all ps<.05).

Results from comparing a logit model assuming error-free inputs and the integrated hybrid model revealed significant impacts on the generated policy scenarios.

Regression models revealed significant interactions between geo-climatic descriptors and land use for a third of the models, with interactions accounting for up to 17% of the model's deviance.

A Multinomial Logistic Regression model revealed significant (and shared) predictors among leavers and undecided workers in comparison to stayers with respect to dissatisfaction with workload and professional development, and working in an urban area.

For binge-eating, mixed-models revealed significant time and shCBT-by-time interaction effects: shCBT had significantly lower binge-eating frequency at 6-month follow-up but the treatments did not differ significantly at any other time point.

The mean score was 5.80 and Generalized Linear Models revealed significant effects of sex and field of study (women and people with no biology education scored higher than men and biologists).

Our meta-analysis using a random-effect model revealed significant differences in the rates of 5- and 10-year OS after thymectomy and in 5-year OS after recurrence, favoring surgically managed patients.