Imputing continuous data under some non‐Gaussian distributions

DOI10.1111/j.1467-9574.2007.00377.xzbMath1148.62007OpenAlexW2027554232MaRDI QIDQ3525714

Hakan Demirtas, Donald R. Hedeker

Publication date: 18 September 2008

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2007.00377.x

zbMATH Keywords

normalitykurtosissymmetry skewness

Mathematics Subject Classification ID

Related Items (5)

A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization ⋮ Multiple imputation using multivariateghtransformations ⋮ Imputation for skewed data: multivariate Lomax case ⋮ Multiple Imputation for Longitudinal Data Under a Bayesian Multilevel Model ⋮ Multiple imputation for bounded variables

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• A method for simulating non-normal distributions
• On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation
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• Generating random deviates from multivariate Pearson distributions
• Multiple Imputation After 18+ Years
• Simulation driven inferences for multiply imputed longitudinal datasets*
• Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds
• Cumulative Frequency Functions

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