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A comparison of exponentially weighted moving average- based methods for monitoring increases in incidence rate with varying population size
LIANJIE SHU1; YAN SU2; WEI JIANG3; KWOK-LEUNG TSUI4
2014
Source PublicationIIE Transactions
ISSN0740-817X
Volume46Issue:8Pages:798-812
Abstract

Estimation of incidence rate and quick detection of its increases are important tasks in public health surveillance. In addition to being an efficient tool for online parameter estimation, the Exponentially Weighted Moving Average (EWMA) method has been widely used as an effective monitoring tool in statistical process control. Motivated by its successful applications, several EWMA-type methods are discussed for monitoring and estimating the incidence rate of adverse events in health care applications. The comparison results show that the conventional EWMA chart has a superior performance in detecting small shifts that occur at the start-up but very poor performance when shifts occur at a later time point. Instead, the adaptive EWMA method that is capable of dynamically updating its smoothing parameter can provide an overall good detection performance when shifts occur at both the first time point and a later time point. This result is validated using male thyroid cancer data in New Mexico.

KeywordInertia Quick Detection Robust Statistics Statistical Process Control Surveillance Poisson Distribution
DOIhttp://dx.doi.org/10.1080/0740817X.2014.894805
Indexed BySCIE
Language英语
WOS Research AreaEngineering ; Operations Research & Management Science
WOS SubjectEngineering, Industrial ; Operations Research & Management Science
WOS IDWOS:000335214000005
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Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Business Administration
DEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Corresponding AuthorLIANJIE SHU
Affiliation1.Faculty of Business Administration, University of Macau, Taipa, Macau
2.Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
3.Department of Systems Engineering & Engineering Management, City University of Hong Kong, Hong Kong
4.Faculty of Science and Technology, University of Macau, Taipa, Macau
First Author AffilicationFaculty of Business Administration
Corresponding Author AffilicationFaculty of Business Administration
Recommended Citation
GB/T 7714
LIANJIE SHU,YAN SU,WEI JIANG,et al. A comparison of exponentially weighted moving average- based methods for monitoring increases in incidence rate with varying population size[J]. IIE Transactions,2014,46(8):798-812.
APA LIANJIE SHU,YAN SU,WEI JIANG,&KWOK-LEUNG TSUI.(2014).A comparison of exponentially weighted moving average- based methods for monitoring increases in incidence rate with varying population size.IIE Transactions,46(8),798-812.
MLA LIANJIE SHU,et al."A comparison of exponentially weighted moving average- based methods for monitoring increases in incidence rate with varying population size".IIE Transactions 46.8(2014):798-812.
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