Sequential BART for imputation of missing covariates
نویسندگان
چکیده
منابع مشابه
Multiple imputation of missing blood pressure covariates in survival analysis.
This paper studies a non-response problem in survival analysis where the occurrence of missing data in the risk factor is related to mortality. In a study to determine the influence of blood pressure on survival in the very old (85+ years), blood pressure measurements are missing in about 12.5 per cent of the sample. The available data suggest that the process that created the missing data depe...
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1 Schafer, J.L. (1997) Imputation of missing covariates under a multivariate linear mixed model. You can also refer to the following paper. Schafer J L, Yucel RM (2002). Computational strategies for multivariate linear mixed-effects models with missing values. The technical report starts from next page. Linear mixed-eeects models have been widely used in the analysis of longitudinal and cluster...
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Recently, multiple imputation has been proposed as a tool for individual patient data meta-analysis with sporadically missing observations, and it has been suggested that within-study imputation is usually preferable. However, such within study imputation cannot handle variables that are completely missing within studies. Further, if some of the contributing studies are relatively small, it may...
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To handle missing data one needs to specify auxiliary models such as the probability of observation or imputation model. Doubly robust (DR) method uses both auxiliary models and produces consistent estimation when either of the model is correctly specified. While the DR method in estimating equation approaches could be easy to implement in the case of missing outcomes, it is computationally cum...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2016
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxw009