Difference between revisions of "QMS"
(I want to report a <a href=" http://garrygillard.net/blog/?buy-a-research-paper-urgently ">best admission essay editing service</a> Simplifying somewhat, we start with data which includes informatio) |
(I like watching TV <a href=" http://www.hearme.ae/?tadacip-20-mg ">tadacip cipla india price</a> The experimental treatment coaxed certain blood cells into targeting and destroying cancer cells, acco) |
||
| Line 1: | Line 1: | ||
| − | I want to report a <a href=" http://garrygillard.net/blog/?buy-a-research-paper-urgently ">best admission essay editing service</a> Simplifying somewhat, we start with data which includes information on patients’ death or survival, and correlates that, using so-called regression analysis, with some observed characteristics – mostly specific health conditions and demographic characteristics. | + | I want to report a <a href=" http://garrygillard.net/blog/?buy-a-research-paper-urgently ">best admission essay editing service</a> Simplifying somewhat, we start with data which includes information on patients’ death or survival, and correlates that, using so-called regression analysis, with some observed characteristics – mostly specific health conditions and demographic characteristics.àSo we can say, for example, that a 55 year old male lung cancer patient has on average an X% chance of dying. Express that on a hospital level, and you have “expected” deaths.àâÂÂExcessâ deaths (or âÂÂexcessâ survival) are just the difference between actual deaths and the number “predicted” by the regression model for each individual hospital. àA hospital with no excess deaths is one that performs exactly as the model predicts. |
Revision as of 04:52, 20 December 2014
I want to report a <a href=" http://garrygillard.net/blog/?buy-a-research-paper-urgently ">best admission essay editing service</a> Simplifying somewhat, we start with data which includes information on patients’ death or survival, and correlates that, using so-called regression analysis, with some observed characteristics – mostly specific health conditions and demographic characteristics.àSo we can say, for example, that a 55 year old male lung cancer patient has on average an X% chance of dying. Express that on a hospital level, and you have “expected” deaths.àâÂÂExcessâ deaths (or âÂÂexcessâ survival) are just the difference between actual deaths and the number “predicted” by the regression model for each individual hospital. àA hospital with no excess deaths is one that performs exactly as the model predicts.
