Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/39552
Type: | Journal article |
Title: | How to find multiple systems underlying a two-way table of Os and 1s with applications to cognitive impairments and medical laboratory science |
Author: | Hutchinson, T. |
Citation: | Journal of Data Science, 2007; 5(2):335-356 |
Publisher: | Columbia University, Department of Statistics |
Issue Date: | 2007 |
ISSN: | 1680-743X 1683-8602 |
Organisation: | Centre for Automotive Safety Research (CASR) |
Statement of Responsibility: | T.P. Hutchinson |
Abstract: | Datasets are sometimes encountered that consist of a two-way table of 0’s and 1’s. For example, this might show which patients are impaired on which of a battery of tests, or which compounds are successful at inactivating which of several micro-organisms. The present paper describes a method of analysing such tables, that reveals and specifies two (or more) systems or modes of action, if indeed they are needed to explain the data. The approach is an extension of what, in the context of cognitive impairments, is termed double dissociation. In order to be simple enough to be practicable, the approach is deterministic rather than probabilistic. |
Keywords: | Applied Statistics Diagnostic methods Binary data |
Appears in Collections: | Aurora harvest 6 Centre for Automotive Safety Research publications |
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