What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns
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DOI: 10.1007/s11136-021-03037-3
Abstract: Although multiple imputation is the state-of-the-art method for managing missing data, mixed models without multiple imputation may be equally valid for longitudinal data. Additionally, it is not clear whether missing values in multi-item instruments should… read more here.
Keywords: imputation; multiple imputation; mixed models; approach mixed ... See more keywords