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Funding bias, also known as sponsorship bias, funding outcome bias, funding publication bias, and funding effect, is a tendency of a scientific study to support the interests of the study's financial sponsor. This phenomenon is recognized sufficiently that researchers undertake studies to examine bias in past published studies.
Simultaneous submission of scientific findings to more than one journal or duplicate publication of findings is usually regarded as misconduct, under what is known as the Ingelfinger rule, named after the editor of The New England Journal of Medicine 1967–1977, Franz Ingelfinger. [47]
On April 2, 2004, the White House Office of Science and Technology Policy issued a statement by Dr. John Marburger, the director of OSTP, that claims the descriptions of the incidents in the UCS report are all "false," "wrong," or "a distortion." He said he was disappointed with the report and dismissed it as "biased."
Publishing only results that show a significant finding disturbs the balance of findings in favor of positive results. [1] The study of publication bias is an important topic in metascience . Despite similar quality of execution and design , [ 2 ] papers with statistically significant results are three times more likely to be published than ...
Research findings in a scientific field are less likely to be true, the smaller the studies conducted. the smaller the effect sizes. the greater the number and the lesser the selection of tested relationships. the greater the flexibility in designs, definitions, outcomes, and analytical modes.
Sponsors of Disney Plus “Snowdrop” have reportedly abandoned the show after many viewers accused the series of distorting history and disrespecting South Korea’s pro-democracy movement in ...
The findings and results are not accurate representations of reality, due to the influence of the observers' biases. Although they may not intend to do so, observer bias may result in researchers subconsciously encouraging certain results, which would lead to changes in the findings and outcomes in the study.
Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1]