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Specifically, the multivariable model controlled for gender, size of residential area, educational level, and sleep quality (PSQI score >5).
After indexing GEDV to PBW, significant relationships for gender, size and weight persisted.
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The error distributions for mortality, gender, size and automixis were binomial, multinomial, Poisson and binomial, respectively, and the link functions were logit, cumulative logit, log and logit, also respectively, because under these conditions the explained variation was maximal (Guisan et al. 2002).
Models adjusted for: multiple gestation, maternal diabetes, infant gender, size for GA, congenital anomalies, need for resuscitation at birth, induced delivery, caesarean section delivery, primiparous, maternal age group, rural residence and breastfeeding initiation.
In Model 1, adjustment was conducted for sociodemographic variables (age, gender, size of residential area, educational level and monthly income level).
In multivariable analyses after adjusting for sociodemographic variables (age, gender, size of residential area, educational level and monthly income level; Model 1), migraine showed an increased OR for insufficient sleep (OR = 2.3, 95% CI = 1.6 –3.1, p < 0.001).
The proportions between term and preterm neonates (gender, size for gestational age, mode of delivery) were not statistically different as we have shown with Fisher's exact test (Table 1).
In the case of manatees they do show increasing sensitivity in bands with optimal propagation for general feature recognition (gender, size, age) (Sousa-Lima et al., 2002) and positional information (Colbert et al., 2009).
"Provide a search feature with an ability to look for a product based on gender, size, price etc". advises Lazar.
*Indicates adjustment for gender, age, size of hospital, and institutional type.
No significant difference was noted in the distribution for gender, age, location, size, or macroscopic type between SA and CAD groups.
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