Surveillance Methods for the Rare Health Events-A Systematic Review
International Journal of Statistical Distributions and Applications
Volume 2, Issue 4, December 2016, Pages: 76-80
Received: Oct. 3, 2016; Accepted: Nov. 1, 2016; Published: Dec. 30, 2016
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Sasikumar Ramaraj, Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, India
Bangusha Devi Subramanian, Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, India
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In the field of healthscinece, the problem will arise when monitoring the incidence rate of an event is very small. There are only few statistical methods available for the investigation of rare health events. Apart from the first quality control chart introduced by Shewhart, the best well known surveillance procedures are based on the CUSUM method which was used to identify small shift in the process. But this well known surveillance procedure based on Cumulative Sum (CUSUM) method is failed to detect an increased rate when the increased rate of an event is very small. Some of the other methods like Sets method, CUSCORE (Cumulative Score) method and Bernoulli CUSUM method based were developed to carry out this problem. Detailed reviews of these three methods in the field of health science were discussed based on earlier literatures.
Sets Method, CUSCORE Method, Bernoulli CUSUM, Steady State Average Run Length (ARL), Rare Health Event
To cite this article
Sasikumar Ramaraj, Bangusha Devi Subramanian, Surveillance Methods for the Rare Health Events-A Systematic Review, International Journal of Statistical Distributions and Applications. Vol. 2, No. 4, 2016, pp. 76-80. doi: 10.11648/j.ijsd.20160204.16
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