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Although not the primary focus of our research, we report predictive accuracy for rater effects for the sake of completeness.
Besides the pooled prevalence estimates, we report predictive intervals as suggested by Higgins et al. for the evaluation of between-study heterogeneity [ 25].
Here, we report predictive factors for abatacept retention at 12 months identified from a cohort of patients from the ACTION study who had received at least one prior biologic agent: anti-CCP positivity, failing <2 prior anti-TNF agents, and cardiovascular comorbidity at initiation were associated with higher retention.
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Conversely, using calculated vacancy sizes, derived from a previously reported predictive model, showed significant improvements in the prediction of the pseudocubic perovskite lattice.
In a previous study, we have reported predictive models on the chromatographic lipophilicity of ionic liquid cations using topological and quantum chemical descriptors.
Despite these recent reports, predictive biomarkers for IFNβ treatment failure have not been identified or validated [6], [14], [16], [38] [48].
Based on both symptoms and the corresponding impact reported by parents, teachers and self-report, predictive algorithms have been developed for a broad category, 'any disorder', as well as for three subcategories: conduct disorders, hyperactivity disorders, and emotional disorders.
However, no measures reported predictive validity.
Similarly, Celebi et al. [ 30] reported predictive values of postoperative PCT for mortality in children undergoing cardiac surgery.
In a review of cancer symptom assessment instruments, only one out of 21 identified instruments reported predictive validity [ 67].
Accordingly, this study confirmed the previously reported predictive value of cardiac 123-I MIBG imaging in patients with heart failure.
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