... patients that is distinct from normal controls. To answer this question, in this study we performed discrimination analysis on the P100 data. The rate of correct classification of patients and controls was high (80-90% depending on stimulus categories), indicating that patients have spatial patterns...

... therapy classes by means of a discriminant analysis procedure. Antidepressants, antipsychotics and stimulants were discriminated successfully from each other and from placebo by this system, whereas nootropics classified as placebo. Anxiolytics, hypnotics and anticonvulsants classified poorly...

... was then performed and spectral parameters (total power and coherence for certain frequency bands) extracted. Stepwise linear discriminant analysis was applied to these spectral parameters to see how well the polygraphically defined sleep stages were recognized. While the results of each intrasubject analysis were...

... Discriminant analysis Logistic regression Fluphenazine Lisuride 14 6 2001 © 2001 S. Karger AG, Basel 2001 Copyright / Drug Dosage / Disclaimer Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any...

...G. Winterer; M. Ziller; B. Klöppel; A. Heinz; L.G. Schmidt; W.M. Herrmann Artificial neural networks (ANN) are widely used to solve problems of differentiating between groups. However, serious comparisons of this method with the traditional procedure for such tasks (discriminant analysis) are rare...