Common pitfalls in statistical analysis: The perils of multiple testing
oleh: Priya Ranganathan, C S Pramesh, Marc Buyse
| Format: | Article |
|---|---|
| Diterbitkan: | Wolters Kluwer Medknow Publications 2016-01-01 |
Deskripsi
Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences of multiple testing and explore various methods to deal with this issue.