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Data on information technology published by researchers at University of California, Department of Public Health Sciences
December 16th, 2010
Scientists discuss in 'A comparison of multiple imputation and fully augmented weighted estimators for Cox regression with missing covariates' new findings in information technology. According to a study from the United States, "Several approaches exist for handling missing covariates in the Cox proportional hazards model. The multiple imputation (MI) is relatively easy to implement with various software available and results in consistent estimates if the imputation model is correct."
"On the other hand, the fully augmented weighted estimators (FAWEs) recover a substantial proportion of the efficiency and have the doubly robust property. In this paper, we compare the...
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Source: Computer Weekly News (2010-12-16)