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Statistical data preparation: management of missing values and outliers
Missing values and outliers are frequently encountered while collecting data. The presence of missing values reduces the data available to be analyzed, compromising the statistical power of the study, and eventually the reliability of its results. In addition, it causes a significant bias in the res...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Society of Anesthesiologists
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548942/ https://www.ncbi.nlm.nih.gov/pubmed/28794835 http://dx.doi.org/10.4097/kjae.2017.70.4.407 |