Data dredging is recognized by several names such as ‘fishing trip’, ‘data snooping’, ‘p-hacking’ and so on.
This may lead to an exponential increase in the risk of inclusion of large quantities of false positive results, thereby corrupting the data that was meant to be originally reported. Impact of data dredging on epidemiologyĭata dredging is defined as “cherry-picking of promising findings leading to a spurious excess of statistically significant results in published or unpublished literature”.The following discussion will attempt to define data dredging and provide an answer to such questions. What is data dredging? How does it affect the p-value? What is its impact on the world around us?
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