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How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review
BACKGROUND: Missing data in covariates can result in biased estimates and loss of power to detect associations. It can also lead to other challenges in time-to-event analyses including the handling of time-varying effects of covariates, selection of covariates and their flexible modelling. This revi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260743/ https://www.ncbi.nlm.nih.gov/pubmed/32471366 http://dx.doi.org/10.1186/s12874-020-01018-7 |