作者: William Hedley Thompson , Jessey Wright , Patrick G Bissett , Russell A Poldrack
DOI: 10.7554/ELIFE.53498
关键词:
摘要: Open data allows researchers to explore pre-existing datasets in new ways. However, if many reuse the same dataset, multiple statistical testing may increase false positives. Here we demonstrate that sequential hypothesis on dataset by can inflate error rates. We go discuss a number of correction procedures reduce positives, and challenges associated with these procedures.