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Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
It is published by Lippincott Williams & Wilkins on behalf of the American College of Healthcare Executives. [1] Each issue prints an interview with a leading healthcare executive. The journal was established in 1956 as Hospital Administration, [2] and was renamed Hospital & Health Services Administration in 1976. [3] It took its current name ...
Results published in the Journal of the American Medical Association (JAMA) in 2011 were retracted by the Journal in 2016. [88] In 2016 Jamal received a lifetime funding ban from the Canadian Institutes of Health Research [89] [90] and in 2018 her license to practice medicine was revoked by the College of Physicians and Surgeons of Ontario. [91]
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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.
Health Services Management Research; Human Resources for Health; Journal for Healthcare Quality; Journal of Healthcare Management; Journal of Innovation in Health Informatics; Journal of Medical Marketing
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.
The consequences of scientific misconduct can be damaging for perpetrators and journal audience [3] [4] and for any individual who exposes it. [5] In addition there are public health implications attached to the promotion of medical or other interventions based on false or fabricated research findings.