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Whereas STAS extracts lexical tokens that can be used to create categories and rules using an analysis model similar to open coding in grounded theory (Strauss and Corbin, 1998), SIDE must be provided with a previously scored training set of data in order to develop its machine learning scoring model.
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Statistical analysis was performed using an analysis of covariance model.
Efficacy endpoints were analyzed using an analysis of covariance model.
Statistical analysis was performed using an analysis of covariance model with HRQL scores as dependent variable.
Quantitative baseline characteristics were compared using an analysis of variance model with similar explanatory terms.
The continuous variables were compared using an analysis of covariance model across treatment groups.
Differences in means were tested using an analysis of variance model using the R statistical package [ 97].
Data were analyzed by using an analysis of variance model that included terms for diet, period, subject and carryover effect.
The change from baseline in AI was analysed using an analysis of covariance model, adjusted for the baseline strata.
η2 was calculated using an analysis of covariance model that adjusts for age, disease duration, and country.
Continuous efficacy endpoints were calculated using an analysis of covariance model, adjusted for Baseline Hgb level and underlying condition.
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