A new conditional non-parametric bootstrap for NLMEMs yields better coverage for variance parameters than asymptotic methods or classical non-parametric bootstraps in sigmoid Emax model simulations across rich, sparse, and unbalanced designs.
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Conditional bootstrap for non-linear mixed effects models
A new conditional non-parametric bootstrap for NLMEMs yields better coverage for variance parameters than asymptotic methods or classical non-parametric bootstraps in sigmoid Emax model simulations across rich, sparse, and unbalanced designs.