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Models with birth weight as outcome were additionally adjusted for gestational age (with a linear term) and fetal sex.
In the models with birth length but without maternal height, which now include the India cohort, the conditional height measures are again consistent across cohorts.
Analysis included logistic models for low birth weight (< 2,500 g) and linear models with birth weight as a continuous variable.
Similarly, we included interaction terms in models with birth weight and childhood or adult social class to test whether an effect of offspring birth weight on maternal HbA1c was modified by social circumstances in childhood or adult life.
Models controlled additionally for mother age, gestational age (for models with birth weight as the outcome), cigarette smoking during pregnancy, previous infant greater than 4000 grams, previous preterm birth, chronic or gestational conditions of mother, and year of birth.
In our study, maternal education, ethnicity, body mass index, parity, and smoking were the main predictors in most of the models with birth outcomes, and in some of the models with pregnancy complications.
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Models with birth-death priors on tree branching and auto-correlated or iid substitution rates among lineages have been proposed, enabling simultaneous inference of substitution rates and divergence times.
Combining (1.2) and (1.4), we can obtain a single population model with birth pulse and impulsive harvesting at different moments (1.5).
In this paper, we consider a delayed Holling type II predator-prey model with birth pulse and impulsive harvesting on predator population at different moments (2.1). the initial conditions for (2.1) are (2.2).
We applied a linear model with birth weight as a continuous variable and a logistic model comparing low weight (< 2,500 g) and non-low weight (≥ 2,500 g) births.
We used the Stata software to estimate the model, with birth date as the origin and January 1991 as the entry date of observation.
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