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Common pitfalls in statistical analysis: The perils of multiple testing
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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840791/ https://www.ncbi.nlm.nih.gov/pubmed/27141478 http://dx.doi.org/10.4103/2229-3485.179436 |