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Problems in dealing with missing data and informative censoring in clinical trials
A common problem in clinical trials is the missing data that occurs when patients do not complete the study and drop out without further measurements. Missing data cause the usual statistical analysis of complete or all available data to be subject to bias. There are no universally applicable method...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2002
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC134476/ https://www.ncbi.nlm.nih.gov/pubmed/11985778 http://dx.doi.org/10.1186/1468-6708-3-4 |