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Additional covariates considered for inclusion in these models were characteristics at baseline which were different between groups and related to the dependent variable of interest.
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As -grams are used for language recognition, we assume that a phoneme-level language model is characteristic to the English language and cannot differ significantly if estimated from general text or from lyrics text.
However, we found that the effective dead time parameter obtained is not constant, as might be expected for a parameter that in the dead time model is characteristic of the detector system, but rather, varies systematically with gate width.
Additionally it was found that the PAA-CNPs were forming a core-shell structure indicating the adsorption isotherm determined from this model is characteristic of single CNP.
All models were corrected for patient characteristics.
Models were adjusted for patient characteristics and a random effect for practice.
Final statistical models were adjusted for patient characteristics such as age, gender, type, site and stage.
The models were adjusted for patient characteristics at the index date, as defined above.
All regression models were adjusted for specimen characteristics and prescription for sex hormones or corticosteroids.
Models were adjusted for sociodemographic characteristics (age [already taken into account by the model], sex, education level, and study center).
Univariate and multivariate logistic regression models were used to determine characteristics associated with previous HIV testing and risk behavior.
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