Mean and variance quality control for multiple correlated levels of replicated control samples

Clinical Chemistry and Laboratory Medicine

Volumn 43, Issue 11, 2005, Pages 1240-1252

  Livesey, John H ^a  

^a Canterbury Health Laboratories Endolab   (New Zealand)

Author keywords

Biometry; Clinical chemistry; Laboratory techniques and procedures; Quality control

Indexed keywords

ALGORITHM; ANALYSIS OF VARIANCE; ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; RANDOMIZATION; SIMULATION; STATISTICS;

ANALYSIS OF VARIANCE; CHEMISTRY, CLINICAL; QUALITY CONTROL; REFERENCE STANDARDS;

EID: 27744589420     PISSN: 14346621     EISSN: 14346621     Source Type: Journal    
DOI: 10.1515/CCLM.2005.215     Document Type: Article

References (19)

1. Shewhart WA. Economic control of quality of manufactured product. New York: Van Nostrand, 1931:501 pp.
2. Levey S, Jennings ER. The use of control charts in the clinical laboratory. Am J Clin Pathol 1950;20:1059-66.
3. Westgard JO, Barry PL, Hunt MR, Groth T. A multi-rule Shewhart chart for quality control in clinical chemistry. Clin Chem 1981;27:493-501.
4. Montgomery DC. Introduction to statistical quality control, 4th ed. New York: Wiley, 2001:796 pp.
5. Linnet K. Mean and variance rules are more powerful or selective than quality control rules based on individual values. Eur J Clin Chem Clin Biochem 1991;29:417-24.
6. Parvin CA. New insight into the comparative power of quality-control rules that use control observations within a single analytical run. Clin Chem 1993;39:440-7.
7. Jansen RT, Laeven M, Kardol W. Internal quality control system for non-stationary, non-ergodic analytical processes based on exponentially weighted estimation of process means and process standard deviation. Clin Chem Lab Med 2002;40:616-24.
8. Dechert J, Case KE. Multivariate approach to quality control in clinical chemistry. Clin Chem 1998;44:1959-63.
9. Marquis P, Masseyeff R. Évaluer une méthode contrôle de qualité interne: application au contrôle multidimensionel. Ann Biol Clin (Paris) 2000;60:607-16.
10. Wolf FM. Meta-analysis: quantitative methods for research synthesis. Beverley Hills, CA: Sage, 1986:65 pp.
11. Scholz FW, Tosch TJ. Small sample uni- and multivariate control charts for means. In: 1994 Proceedings of the Section on Quality and Productivity of the American Statistical Association. Alexandria, VA: American Statistical Association, 1994.
12. Press WH, Teukolsky SA, Vettering WT, Flannery BP. Numerical recipes in C: the art of scientific computing, 2nd ed. Cambridge, UK: Cambridge University Press, 1992:994 pp.
13. Abramowitz M, Stegun I, editors. Handbook of mathematical functions. New York: Dover, 1965:1046 pp.
14. Ryan TP. Statistical methods for quality improvement, 2nd ed. New York: Wiley, 2000:555 pp.
15. Westgard JO. Internal quality control: planning and implementation strategies. Ann Clin Biochem 2003;40: 593-611.
16. Jones RD. Reevaluation of the power of error detection of Westgard multirules. Clin Chem 2004;50:762-4.
17. Prabhu SS, Runger GC. Designing a multivariate EWMA control chart. J Qual Technol 1997;29:8-15.
18. Pignatiello J, Runger G. Comparisons of multivariate CUSUM charts. J Qual Technol 1990;22:173-86.
19. Cembrowski GS. Thoughts on quality-control systems: a laboratorian's perspective. Clin Chem 1997;43:886-92.