Testing for brain anomalies: A hippocampus study
Larisa Matejic
Journal of Applied Statistics, 1998, vol. 25, issue 5, 593-600
Abstract:
A mathematical classification method is presented to show how numerical tests for abnormal anatomical shape change can be used to study geometrical shape changes of the hippocampus in relation to the occurrence of schizophrenia. The method uses the well-known best Bayesian decision rule for two simple hypotheses. Furthermore, the technique is illustrated by applying the hypothesis testing method to some preliminary hippocampal data. The data pool available for the experiment consisted of 10 subjects, five of whom were diagnosed with schizophrenia and five of whom were not schizophrenics. Even though the information used in the experiment is limited and the number of subjects is relatively small, we are confident that the mathematical classification method presented is of significance and can be used successfully, given proper data, as a diagnostic tool.
Date: 1998
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/02664769822846 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:25:y:1998:i:5:p:593-600
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20
DOI: 10.1080/02664769822846
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().