Clinical Chemistry AACC Online Job Center
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 27: 14-17, 1981;
This Article
Right arrow Full Text (PDF)
Right arrow Submit an electronic Letter to
the Editor about this paper
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hawker, F. J.
Right arrow Articles by Challand, G. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hawker, F. J.
Right arrow Articles by Challand, G. S.

Clinical Chemistry, Vol 27, 14-17, Copyright © 1981 by American Association for Clinical Chemistry

Effect of outlying standard points on curve fitting in radioimmunoassay

FJ Hawker and GS Challand

Outlying points often appear in standard curves for radioimmunoassay. We have examined the effect of outlying standard points on the ability of various automated data-processing routines, and of manual operators, to position a radioimmunoassay standard curve correctly. Manual operators were found to be highly subjective in their handling of a standard curve containing outlying points. Automated methods without outlier rejection capability produced standard curves that were significantly erroneous. In contrast, a data-processing method with automated outlier rejection capability successfully identified outliers, but occasionally rejected valid points--and consequently misplaced the standard curve. Visual identification of outliers is unsatisfactory. Automated identification can be more satisfactory, but some patterns of outliers make it less so. We conclude that any automated data-processing method should contain an outlier rejection facility, but its results should be treated with caution.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1981 by the American Association for Clinical Chemistry.