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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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Hlavní autoři: Orlagh U. Carroll, Tim P. Morris, Ruth H. Keogh
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2020-05-01
Edice:BMC Medical Research Methodology
Témata:
Missing data
Time-to-event
Observational studies
Survival
Epidemiology
Oncology
On-line přístup:http://link.springer.com/article/10.1186/s12874-020-01018-7
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