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The misuse of Statistics can trick the observer who does not understand them into believing something other than what the data shows or what is really 'true'. That is, a misuse of statistics occurs when an argument uses statistics to assert a falsehood. In some cases, the misuse may be accidental.
Data dredging (also known as data snooping or p-hacking) [1] [a] is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives.
Use errors in health care [ edit ] In 1998, Cook, Woods and Miller presented the concept of hindsight bias , exemplified by celebrated accidents in medicine, by a workgroup on patient safety. [ 10 ]
Unnecessary health care (overutilization, overuse, or overtreatment) is health care provided with a higher volume or cost than is appropriate. [1] In the United States, where health care costs are the highest as a percentage of GDP, overuse was the predominant factor in its expense, accounting for about a third of its health care spending ($750 billion out of $2.6 trillion) in 2012.
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it. Graphs may be misleading by being excessively complex or poorly constructed.
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Health Dialog was built to address unwarranted variation in healthcare: the overuse, underuse and misuse of medical care. Wennberg and his colleagues concluded that if unwarranted variation in the US healthcare system could be reduced, the quality of care would go up and healthcare costs would go down.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...