A multiple imputation method for missing covariates in non-linear mixed-effects models with application to HIV dynamics.

Abstract

We propose a three-step multiple imputation method, implemented by Gibbs sampler, for estimating parameters in non-linear mixed-effects models with missing covariates. Estimates obtained by the proposed multiple imputation method are compared to those obtained by the mean-value imputation method and the complete-case method through simulations. We find that… (More)

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