Document Detail

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.
MedLine Citation:
PMID:  16719619     Owner:  NLM     Status:  MEDLINE    
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.
John R Crawford; Paul H Garthwaite
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Neuropsychology     Volume:  20     ISSN:  0894-4105     ISO Abbreviation:  Neuropsychology     Publication Date:  2006 May 
Date Detail:
Created Date:  2006-05-24     Completed Date:  2006-09-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8904467     Medline TA:  Neuropsychology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  259-71     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2006 APA, all rights reserved.
School of Psychology, University of Aberdeen, Aberdeen, United Kingdom.
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MeSH Terms
Confidence Intervals*
Data Interpretation, Statistical*
Monte Carlo Method
Neuropsychological Tests / statistics & numerical data*
Predictive Value of Tests
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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