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Bivariate analysis was then used to identify both individual testing that contributed the best quantity of variance to the composite score; these were the LNS and the DST, which jointly accounted for 76 percent or variance and formed the new BNA. Additional analyses verified the robustness of the BNA in tracking the neurocognitive composite score as time passes and in deciding on subsamples of individuals with different sociodemographic and clinical characteristics. Certainly, the composition of the BNA was robust across 99.99 percent of randomly drawn subsamples, based on the authors. Finally, the team examined whether the BNA predicted clinical outcomes to a similar extent as the entire neuropsychological battery. They found that the BNA and the full battery were both considerably connected with symptoms, functional status, and neurocognition, and that the change in BNA correlated with the change in full battery following 6 months of antipsychotic treatment.