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Exact(6)
Although we were unable to test the interaction between transfer status and ISS in multivariable models due, in part, to small cell sizes, we did observe a significant association at the bivariable level between transfers and mortality among children with severe injuries (OR 0.3; 95 % CI, 0.2 0.6).
Residence in London was forced into the multivariable models, due to its potential significance for policy.
Age, BMI, and gestational weight gain were a priori factors included in multivariable models due to their established associations with AGT [ 10].
The variable, Total admissions, was not included in the multivariable models due to moderate collinearity with Post-midnight admissions (Pearson R = 0.55), with an associated variance inflation factor of 1.43.
While ethnicity/race is examined in bivariate analysis (ie, white, black, south Asian, south-east Asian, West Asian or other), only visible minority status (ie, white vs others) was used instead of more detailed ethnicity categories in multivariable models due to cell size limitations.
These data were used in preliminary analyses but were not taken forward to the final multivariable models due to poorer response rates, strong collinearity with the maternal measures, similarity in associations (compared with the maternal measures) and issues with imputing this information when the young person has only one parent.
Similar(54)
Stillbirth and neonatal mortality were not included in the multivariable model due to collinearity with abortion.
Literacy and ever school were excluded from the multivariable model due to collinearity with education.
Household income source was dropped from the multivariable model due to co-linearity.
Each vascular measure was modeled in a separate multivariable model due to the high correlation between the vascular measurements.
It was not possible to fit all data into one multivariable model due to missing data in the dental disease and weight categories, we therefore present two models.
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