Abstract
The biomedical community is a leader in research on bias in science, including funding-induced bias. To facilitate this research, we have developed a taxonomy of fifteen different types of potential funding-induced bias. We describe each type of bias, as well as giving a snapshot of existing research and briefly discussing the potential for various forms of statistical analysis. We also introduce the concept of an amplifying bias cascade, wherein bias builds through successive iterations.
Highlights
The purpose of this report is to provide a framework for doing statistical research on the problem of funding-induced bias in science
What we have found is that some types of bias are being studied extensively, including quantitatively
The concept of funding-induced bias is one that occurs in the discussion of and research into some of the fifteen bias research types that we have identified, but not in all of them
Summary
Any reports and responses or comments on the article can be found at the end of the article. The authors declared that no grants were involved in supporting this work. How to cite this article: Wojick D and Michaels P.
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