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.
| Published in | International Journal of Statistical Distributions and Applications (Volume 2, Issue 4) |
| DOI | 10.11648/j.ijsd.20160204.16 |
| Page(s) | 76-80 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Sets Method, CUSCORE Method, Bernoulli CUSUM, Steady State Average Run Length (ARL), Rare Health Event
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APA Style
Sasikumar Ramaraj, Bangusha Devi Subramanian. (2016). Surveillance Methods for the Rare Health Events-A Systematic Review. International Journal of Statistical Distributions and Applications, 2(4), 76-80. https://doi.org/10.11648/j.ijsd.20160204.16
ACS Style
Sasikumar Ramaraj; Bangusha Devi Subramanian. Surveillance Methods for the Rare Health Events-A Systematic Review. Int. J. Stat. Distrib. Appl. 2016, 2(4), 76-80. doi: 10.11648/j.ijsd.20160204.16
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Download@article{10.11648/j.ijsd.20160204.16,
author = {Sasikumar Ramaraj and Bangusha Devi Subramanian},
title = {Surveillance Methods for the Rare Health Events-A Systematic Review},
journal = {International Journal of Statistical Distributions and Applications},
volume = {2},
number = {4},
pages = {76-80},
doi = {10.11648/j.ijsd.20160204.16},
url = {https://doi.org/10.11648/j.ijsd.20160204.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20160204.16},
abstract = {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.},
year = {2016}
}
TY - JOUR T1 - Surveillance Methods for the Rare Health Events-A Systematic Review AU - Sasikumar Ramaraj AU - Bangusha Devi Subramanian Y1 - 2016/12/30 PY - 2016 N1 - https://doi.org/10.11648/j.ijsd.20160204.16 DO - 10.11648/j.ijsd.20160204.16 T2 - International Journal of Statistical Distributions and Applications JF - International Journal of Statistical Distributions and Applications JO - International Journal of Statistical Distributions and Applications SP - 76 EP - 80 PB - Science Publishing Group SN - 2472-3509 UR - https://doi.org/10.11648/j.ijsd.20160204.16 AB - 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. VL - 2 IS - 4 ER -
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