A One-Sided MEWMA Chart for Health Surveillance
Author
Joner, Michael D. Jr.
Woodall, William H.
Reynolds, Marion R.
Fricker, Ronald D. Jr.
Date
2008-04Metadata
Show full item recordAbstract
It is often important to rapidly detect an increase in the incidence rate of a given
disease or other medical condition. It has been shown that when disease counts are
sequentially available from a single region, a univariate control chart designed to
detect rate increases, such as a one-sided cumulative sum chart, is very effective.
When disease counts are available from several regions at corresponding times, the
most efficient monitoring method is not readily apparent. Multivariate monitoring
methods have been suggested for dealing with this detection problem. Some of these
approaches have shortcomings that have been recently demonstrated in the quality
control literature. We discuss these limitations and suggest an alternative multivariate
exponentially weighted moving average chart. We compare the average run-length
performance of this chart with that of competing methods. We also evaluate the
statistical performance of these charts when the actual increase in the disease count
rate is different from the one that the chart was optimized to detect quickly. Copyright
© 2008 John Wiley & Sons, Ltd.
Description
Quality and Reliability Engineering International, 24, 503-519.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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