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Almost one quarter of the variability in the history of fever (23.0%) could be predicted using multivariate logistic regression modelling (Table 5).
Site-specific data for 11 potential predictors were collected for use in predictive modelling (Table 1).
Bcl-2 staining was then included in the Cox modelling (Table 2-wrap>).
Treatment policy was included as a covariate for the univariate and the multivariable modelling (table 3).
The top three ranked courses in Bioinformatics were: Sequence Analysis, Gene and Sequence Annotation, and Molecular Modelling (table 2).
The results of multilevel modelling (Table 2) showed that British Pakistani girls spent a greater proportion of their recess sedentary, a difference that approached statistical significance (p = 0.06).
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Overall, all model ensembles (Table 2D) exhibited higher predictive power than single models (Table 2A).
TTS model (Table 6) has 235 valid respondents.
This association persisted in the proportional hazard model (Table 4).
The following table shows the assignment of selected variables to defined models (Table 2).
All the models that have been analyzed previously are static models (Table 5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com