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| 引用本文： | ���ȫ,��ޱ. ��II����������ֵķ��յ�����ļ��ο���ͼ[J]. 应用概率统计, 2017, 33(5): 441-449. DOI: 10.3969/j.issn.1001-4268.2017.05.001 |
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| 作者姓名： | ���ȫ ��ޱ |
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| 作者单位： | ????????????????????;??????????о?? |
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| 摘 要： |
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| 关 键 词： | ??? ?????????????? ????????? ??????????? |
Phase II Risk-Adjusted Geometric Control Charts for Monitoring Surgical Performance |
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| QI DeQuan,GENG Wei. Phase II Risk-Adjusted Geometric Control Charts for Monitoring Surgical Performance[J]. Chinese Journal of Applied Probability and Statisties, 2017, 33(5): 441-449. DOI: 10.3969/j.issn.1001-4268.2017.05.001 |
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| Authors: | QI DeQuan GENG Wei |
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| Affiliation: | School of Biomedical Engineering, Jilin Medical University;LPMC and Institute of Statistics, Nankai University |
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| Abstract: | In recent years, statistical process control (SPC)has been widely used to monitor the performance of clinical practitioners,such as surgeons and general practitioners. In this paper, two risk-adjustedgeometric control charts namely cumulative sum (CUSUM) and weighted likelihoodratio test (WLRT) are proposed to monitor surgery performance in phase II.The performance of the proposed control charts is evaluated and compared bysimulation experiments for different shift values in the parameters of arisk-adjusted logistic regression model in terms of the average run length(ARL) criterion. The results show that all methods work well in the sensethat they can effectively detect shifts in the process parameters. |
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