Abstract:
:The application of multivariate statistical technics to laboratory data analysis is a recent development in clinical pathology. The proliferation in number and type of diagnostic tests requires a simple method to extract predictors of clinical states from data generated by existing laboratory procedures, as well as a method to assess the usefulness of new tests as they are proposed. A series of algorithms can select a "best predictor" subset of laboratory tests and verify this reduced group's predictive diagnostic worth. The established predictive ability of existing laboratory tests can serve as a reference scale when a newly available laboratory test is evaluated. The proposed new test is included with the best predictors already identified and confirmed. In multivariate analysis the usefulness of the proposed new procedure in the predictive diagnosis scheme is determined.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Beck JRdoi
10.1007/BF02222466subject
Has Abstractpub_date
1980-01-01 00:00:00pages
237-52issue
2eissn
0148-5598issn
1573-689Xjournal_volume
4pub_type
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