Control charts for health care monitoring under overdispersion
نویسندگان
چکیده
منابع مشابه
Control charts for health care monitoring under overdispersion
An attractive way to control attribute data from high quality processes is to wait till r ≥ 1 failures have occurred. The choice of r in such negative binomial charts is dictated by how much the failure rate is supposed to change during Outof-Control. However, these results have been derived for the case of homogeneous data. Especially in health care monitoring, (groups of) patients will often ...
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Attribute data from high quality processes can be monitored adequately by using negative binomial charts. The optimal choice for the number r of failures involved depends on the expected rate of change in failure rate during Out-of-Control. To begin with, such results have been obtained for the case of homogeneous data. But especially in health care monitoring, (groups of) patients will often s...
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Attribute data from high quality processes can be monitored effectively by deciding on whether or not to stop at each time where r ≥ 1 failures have occurred. The smaller the degree of change in failure rate during Out-of-Control one wants to be optimally protected against, the larger r should be. Under homogeneity, the distribution involved is negative binomial. However, in health care monitor...
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ژورنال
عنوان ژورنال: Metrika
سال: 2009
ISSN: 0026-1335,1435-926X
DOI: 10.1007/s00184-009-0290-z