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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&#8217; death or survival, and correlates that, using so-called regression analysis, with some observed characteristics &#8211; mostly specific health conditions and demographic characteristics.  So 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 &#8220;expected&#8221; deaths.  “Excess” deaths (or “excess” survival) are just the difference between actual deaths and the number &#8220;predicted&#8221; by the regression model for each individual hospital.  A hospital with no excess deaths is one that performs exactly as the model predicts.
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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&#8217; death or survival, and correlates that, using so-called regression analysis, with some observed characteristics &#8211; mostly specific health conditions and demographic characteristics.  So 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 &#8220;expected&#8221; deaths.  “Excess” deaths (or “excess” survival) are just the difference between actual deaths and the number &#8220;predicted&#8221; by the regression model for each individual hospital.  A hospital with no excess deaths is one that performs exactly as the model predicts.

Revision as of 04:52, 20 December 2014

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