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Missing data and multiple imputation in clinical epidemiological research
Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MC...
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| Vydáno v: | Clin Epidemiol |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Dove Medical Press
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5358992/ https://ncbi.nlm.nih.gov/pubmed/28352203 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CLEP.S129785 |
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