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Programs use a variety of models for infant feeding counseling.
Backward model selection was used to derive separate models for infant mortality and perinatal mortality.
Additional adjustment of models for infant birth weight z score did not substantially alter any of the effect estimates.
Results The final models for infant mortality and perinatal mortality included measures of deprivation, ethnicity, and maternal age.
The models for infant and perinatal mortality were validated using the approach described by Harrell et al. 9 For infant mortality the estimate of model optimism derived from the bootstrap process was 4.6%, and for perinatal mortality it was 3.9%.
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A final model for infant's cytokine was created with maternal cytokine producer status and confounding factors for maternal and child cytokine production.
The final model for infant mortality explained 70% of the observed heterogeneity in outcome between PCTs.
The final model for infant blood lead included breast milk lead, umbilical cord lead at delivery, breast-feeding status (exclusive vs. partial), and infant weight change.
Out of the 12 candidate variables, the final model for infant mortality included three which were highly statistically significantly predictive of outcome (see tables 2 and 4).
Breast milk lead was divided into quartiles, and the midpoint of the quartile was used to predict the infant blood lead level for exposure at that level based on the final model for infant blood lead.
Nonetheless, it has consistently been found to be the best structural model for infant growth (Berkey and Reed, 1987; Chirwa et al., 2014; Johnson, 2010; Pizzi et al., 2014; Simondon et al., 1992).
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