Sentence examples for models which controlled from inspiring English sources

Statistical analyses included chi-square analysis and logistic regression models which controlled for numerous factors.

We analysed time-series data with non-parametric regression models including generalised additive models, which controlled for time trends.

* Adjusted odds ratios obtained from logistic models which controlled for age, sex, marital status, residence, cause of death and year of death.

Linear mixed-effects models which controlled for age, sex and education, showed that the level of loneliness at baseline was associated with the rate of motor decline (Estimate, -0.016; S.E. 0.006, p = 0.005).

Logistic regression models, which controlled for demographic and psychosocial factors that varied by recruitment cohort as well as experimental variables (that is, randomization status), were used to examine changes to health behaviors and advance planning, including tests for interaction effects between cohort and genetic risk status.

In Model 6 and Model 7, the frequency and originality of individual sharing behavior have significant positive effects on centrality under the premise that the model which controlled the prior centrality (0.709, p < 0.001in Model 6; 0.688, p < 0.001 in Model 7).

Two years later, the international community agreed to phase out CFCs using a regulatory model which controlled both sources of production and consumption to cut CFCs.

On average, current PZP recipients gave birth 3.36 months later than did pre-contraception mares, according to our linear mixed effects model, which controlled for heterogeneity of variances, weather influences, and mare age (estimate = 3.36, SE = 0.51, t = 6.64, P<0.001; overall model: Likelihood ratio (compared to null model): 40.79, generalized r2 = 0.48, P<0.001).

The hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the Cox model, which controlled for sociodemographic factors.

The relationship of penicillin resistance with competence was analyzed in a logistic regression model which controlled for serotypes.

Mutivariable associations were examined by entering all demographic and preoperative factors into a single model, which controlled for all these main effects, in a full model.