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Several of his academic papers were retracted due to concerns about manipulated or fabricated data. In 2022, the Chemistry group at Hokkaido University, where Sawamura is affiliated, retracted multiple papers, including one published in the journal Science in 2020. The retraction was attributed to the non-reproducibility of reported results and ...
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.
A 2003 study by the Hungarian Academy of Sciences found that 70% of articles in a random sample of publications about least-developed countries did not include a local research co-author. [ 37 ] Frequently, during this kind of research, the local colleagues might be used to provide logistics support as fixers but are not engaged for their ...
Johns Hopkins, Yale and others are offering scientists and physicians guides for addressing misinformation and disinformation. It's an uphill battle.
Leek summarized the key points of agreement as: when talking about the science-wise false discovery rate one has to bring data; there are different frameworks for estimating the science-wise false discovery rate; and "it is pretty unlikely that most published research is false", but that probably varies by one's definition of "most" and "false".
Simpson's paradox has been used to illustrate the kind of misleading results that the misuse of statistics can generate. [7] [8] Edward H. Simpson first described this phenomenon in a technical paper in 1951, [9] but the statisticians Karl Pearson (in 1899 [10]) and Udny Yule (in 1903 [11]) had mentioned similar effects earlier.
Take one measure of labor market earnings — the pay (including benefits) of the 80% of workers who are not managers or supervisors at work. For decades before 1980, these workers’ hourly pay ...
The publication or nonpublication of research findings, depend on the nature and direction of the results. Although medical writers have acknowledged the problem of reporting biases for over a century, [12] it was not until the second half of the 20th century that researchers began to investigate the sources and size of the problem of reporting biases.