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As the results were not affected when weight was added as covariates to the model, this variable was omitted.
In the standard value-added model, this variable is intended to control for the students' knowledge, skills, and ability at the start of the school year.
Although aspect was included in the model, this variable provided almost no information (Fig. 2).
However, since having history of an underlying medical condition was highly correlated with age and receipt of prior influenza vaccine during 2004 08 (two variables already included in the adjusted model), this variable had no effect on the VE estimate when added to the model and was therefore not include in the final adjusted model.
In the 0 4 year old model this variable was the 0 4 year rate of foreign travel cases.
We model this variable using a mixture of three Gaussians, for a total of eight free parameters (three means, three variances and two weights).
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A Wald test for linear trend was also conducted by assigning the median value of each fructosamine quartile category and modeling this variable as a continuous variable.
In fact, in all J models this variable was not significant.
Table 1 demonstrates that in five of the six models this variable was statistically significant.
We performed tests for trend across categories by assigning the median value to each category and modelling this variable as a continuous variable.
Tests for trend were performed by assigning the median value to each category and modelling this variable as a continuous variable.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com