How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review
Abstract 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. T...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2020-05-01
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| Серии: | BMC Medical Research Methodology |
| Предметы: | |
| Online-ссылка: | http://link.springer.com/article/10.1186/s12874-020-01018-7 |
| Метки: |
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