| Comparing patients' predicted test scores from a regression equation with their obtained scores: a significance test and point estimate of abnormality with accompanying confidence limits. | |
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MedLine Citation:
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PMID: 16719619 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In contrast to the standard use of regression, in which an individual's score on the dependent variable is unknown, neuropsychologists are often interested in comparing a predicted score with a known obtained score. Existing inferential methods use the standard error for a new case (s-subN+1) to provide confidence limits on a predicted score and hence are tailored to the standard usage. However, s-subN+1 can be used to test whether the discrepancy between a patient's predicted and obtained scores was drawn from the distribution of discrepancies in a control population. This method simultaneously provides a point estimate of the percentage of the control population that would exhibit a larger discrepancy. A method for obtaining confidence limits on this percentage is also developed. These methods can be used with existing regression equations and are particularly useful when the sample used to generate a regression equation is modest in size. Monte Carlo simulations confirm the validity of the methods, and computer programs that implement them are described and made available. |
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Authors:
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John R Crawford; Paul H Garthwaite |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Neuropsychology Volume: 20 ISSN: 0894-4105 ISO Abbreviation: Neuropsychology Publication Date: 2006 May |
Date Detail:
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Created Date: 2006-05-24 Completed Date: 2006-09-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8904467 Medline TA: Neuropsychology Country: United States |
Other Details:
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Languages: eng Pagination: 259-71 Citation Subset: IM |
Copyright Information:
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Copyright (c) 2006 APA, all rights reserved. |
Affiliation:
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School of Psychology, University of Aberdeen, Aberdeen, United Kingdom. j.crawford@abdn.ac.uk |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Confidence Intervals* Data Interpretation, Statistical* Humans Monte Carlo Method Neuropsychological Tests / statistics & numerical data* Predictive Value of Tests Psychometrics Regression Analysis* Sensitivity and Specificity Weights and Measures |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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