×

Performance of risk-adjusted cumulative sum charts when some assumptions are not met. (English) Zbl 1362.62189

Summary: Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One such methodology is the risk-adjusted cumulative sum chart (RA-CUSUM) for monitoring binary outcomes such as mortality after cardiac surgery. When building RA-CUSUMs, independence and model correctness are assumed. We carry out a simulation study to examine the effect of violating these two assumptions on the chart’s performance.

MSC:

62P10 Applications of statistics to biology and medical sciences; meta analysis
62P30 Applications of statistics in engineering and industry; control charts
62L10 Sequential statistical analysis
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Fokianos K., 2013 145 pp 102–
[2] Gombay E., 2011 30 (23) pp 2815–
[3] Grigg O., 2004 167 pp 523–
[4] Inquiry, 2001
[5] Inquiry, 2002
[6] Jones M., 2012 24 (2) pp 176–
[7] Lie R., 1993 12 (1) pp 13–
[8] Oman S. D., 2001 88 (1) pp 287–
[9] Parsonnet V., 1989 79 (6) pp 3–
[10] Psarakis S., 2014
[11] Steiner S. H., 2000 1 (4) pp 441–
[12] Woodall W., 2006 38 (2) pp 89–
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.