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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.
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.
Unwarranted variation in medical practice is costly and deadly as noted by Martin Sipkoff in 9 Ways To Reduce Unwarranted Variation.Analysis of Medicare data revealed that per-capita spending per enrollee in Miami was almost 2.5 times as much as in Minneapolis, even after adjusting data for age, sex, and race.
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 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 ...
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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.
Elder abuse refers to acts or omissions that cause harms to older people. Based on self-report by staff the prevalence of elder abuse in institutional settings such as nursing homes is 64.2%. The prevalence of psychological abuse is 33.4%, physical abuse 14.1%, neglect 11.6%, and sexual abuse 1.9%.