The researchers randomly selected 50 recipes from a cookbook and found that 80% of the ingredients had been linked to either an increased or decreased risk of cancer in a number of studies. ![]() ![]() John Ioannidis, chair of disease prevention at Stanford University, in 2012 co-authored a study that showcased just how misleading data dredging can be. Ivan Oransky, co-founder of Retraction Watch and a teacher of medical journalism at New York University (NYU), said data dredging is "a really serious problem," and can throw "into question the very statistical basis of what we're reading as science journalists and as the public." Why data dredging is rampant in nutrition researchĬritics have argued that data dredging is rampant throughout nutrition research, leading to misleading, unscientific, and conflicting studies in the field, O'Connor writes.įor example, it's common to see a nutritional study that claims a specific food or beverage can lead to an increased risk of cancer-only to see a separate study a week later that shows the food or beverage has health benefits. For example, these studies can't prove a causal relationship, and they can often uncover spurious or coincidental correlations that may grab headlines but don't have any real-world significance, O'Connor writes. Studies developed using data-dredging can lead to important findings, O'Connor writes, but they also have significant limitations.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |