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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...
Guardat en:
Publicat a: | Perspect Clin Res |
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Autors principals: | , , |
Format: | Artigo |
Idioma: | Inglês |
Publicat: |
Medknow Publications & Media Pvt Ltd
2016
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Matèries: | |
Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4840791/ https://ncbi.nlm.nih.gov/pubmed/27141478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2229-3485.179436 |
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