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We used linear regression models for birth weight as a continuous outcome variable with both unadjusted and adjusted analyses.
However, the models for birth weight, docility, and yearling height were not significant (Bonferroni corrected α = 0.003125 = 0.05/16).
To simplify presentation, we constructed separate models for birth through 23 months and for 2 to 4.5 years of age.
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.
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).
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).
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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.
Our results add to this evidence and are consistent with a linear model for birth weights above 2,496 grams.
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.
32 Maternal height, weight, ethnicity, and parity at booking and neonatal gestation at delivery and sex were taken into account in the definition for fetal growth restriction, and were adjusted for in the model for birth weight.
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