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


     

Clinical Chemistry 39: 440-447, 1993;
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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Parvin, C. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Parvin, C. A.

Clinical Chemistry, Vol 39, 440-447, Copyright © 1993 by American Association for Clinical Chemistry

New insight into the comparative power of quality-control rules that use control observations within a single analytical run [published erratum appears in Clin Chem 1993 Aug;39(8):1589]

CA Parvin
Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110.

The error detection characteristics of quality-control (QC) rules that use control observations within a single analytical run are investigated. Unlike the evaluation of QC rules that span multiple analytical runs, most of the fundamental results regarding the performance of QC rules applied within a single analytical run can be obtained from statistical theory, without the need for simulation studies. The case of two control observations per run is investigated for ease of graphical display, but the conclusions can be extended to more than two control observations per run. Results are summarized in a graphical format that offers many interesting insights into the relations among the various QC rules. The graphs provide heuristic support to the theoretical conclusions that no QC rule is best under all error conditions, but the multirule that combines the mean rule and a within-run standard deviation rule offers an attractive compromise.


The following articles in journals at HighWire Press have cited this article:


Home page
 Clin. Chem.Home page
C. A. Parvin and A. M. Gronowski
Effect of analytical run length on quality-control (QC) performance and the QC planning process
Clin. Chem., November 1, 1997; 43(11): 2149 - 2154.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Chem.Home page
C. A. Parvin
Quality-control (QC) performance measures and the QC planning process
Clin. Chem., April 1, 1997; 43(4): 602 - 607.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Chem.Home page
J. O. Westgard and B. Stein
Automated Selection of Statistical Quality-Control Procedures to Assure Meeting Clinical or Analytical Quality Requirements
Clin. Chem., February 1, 1997; 43(2): 400 - 403.
[Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1993 by the American Association for Clinical Chemistry.