Sentence examples for modelling for birth from inspiring English sources

We performed unconditional logistic regression modelling for fetal growth restriction and general linear modelling for birth weight, with stratification for the two maternity units, using Stata version 10 survey facilities.

Perhaps the longest established animal model for birth timing is in sheep.

Table 1 shows the results of an adjusted multivariable logistic regression model for birth defects.

To simplify presentation, we constructed separate models for birth through 23 months and for 2 to 4.5 years of age.

We used linear regression models for birth weight as a continuous outcome variable with both unadjusted and adjusted analyses.

Our results add to this evidence and are consistent with a linear model for birth weights above 2,496 grams.

However, the models for birth weight, docility, and yearling height were not significant (Bonferroni corrected α = 0.003125 = 0.05/16).

We used linear regression models for birth outcomes evaluated on a continuous scale (birth weight, head circumference) and calculated beta-coefficients and 95% confidence intervals (CIs).

Final models for birth weight and crown heel length included all of the variables in models for length of gestation, except that total DAPs replaced dimethyl phosphate levels.

In addition, they are likely to represent excellent models for birth defects in humans, as evidenced by those linked to human neural tube defects (Harris and Juriloff, 2010).

In addition, the models for birth weight and crown heel length included continuous variables for pregnancy weight gain, gestational age, and gestational age squared, as well as categorical variables for prepregnancy BMI and infant sex.