Sentence examples for models with child from inspiring English sources

Our multinomial modeling approach considerably outperforms logistic regression, even when fitting models with child genotype effects alone (simulation scenario A) or maternal genotypes alone (simulation scenario B), which are straightforward to fit using logistic regression.

Differences in age and gender between children with and without a complete dataset were calculated using mixed linear or logistic regression models with child care center (= cluster) as random effect.

The differences in anthropometry, motor skills and physical or sedentary activity according to weight status or gender were also calculated using mixed linear or logistic regression models with child care center as random effect.

Risk factors for infant mortality were assessed in univariable and multivariable Cox regression models with child HIV infection as a time-dependent variable; for the adjusted model, variables with a statistically significant association univariately were included in addition to three included (parity, maternal age and education) a priori (Ndirangu et al., 2010).

The current issue of Vogue devotes pages to models with children, treating them as if they were a rare and wondrous new species.

Growth was estimated using multilevel models with child-specific intercepts and trajectories.

Paternal and maternal BAPQ total scores were entered in the regression model with child SRS score as the dependent variable.

Combinations of parent and teacher reports were then examined in a multinomial model, with children rated as 'normal' by parent and teacher as the baseline group.

Considering the linkage and correlation between accommodation, vergence, and refractive error [ 30, 31], a further multiple regression model with children's refractive error adjusted was employed, with it yielding similar results.

We used a multilevel random intercept logistic model with children (Level 1) nested within divisions (Level 2) to estimate the probability of low birth weight and low weight for age at age one.

The strong association between household density and risk of childhood ALL seen in the univariable analysis remained in this multivariable model, with children born into less crowded households having almost twice the risk of ALL compared to children from more crowded households.