Multiple imputation for longitudinal data using Bayesian lasso imputation model
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DOI: 10.1002/sim.9315
Abstract: Multiple imputation is a promising approach to handle missing data and is widely used in analysis of longitudinal clinical studies. A key consideration in the implementation of multiple imputation is to obtain accurate imputed values… read more here.
Keywords: imputation model; lasso imputation; multiple imputation; imputation ... See more keywords
Multiple imputation with compatibility for high-dimensional data
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DOI: 10.1371/journal.pone.0254112
Abstract: Multiple Imputation (MI) is always challenging in high dimensional settings. The imputation model with some selected number of predictors can be incompatible with the analysis model leading to inconsistent and biased estimates. Although compatibility in… read more here.
Keywords: high dimensional; compatibility; imputation; multiple imputation ... See more keywords