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Blinded analyses were aimed to determine how different atypical Positive and Negative Syndrome Scale (PANSS) score profiles (identified using algorithms) were able to predict early termination.
The goal of this study was to identify a CDR quality metric, based upon internal patterns of domain scores that could be used to identify atypical patterns that might be indicative of scoring errors.