Modeling complex interactions involving multiple response variables is a difficult problem. Response variables are often correlated with each other, have causal relationships and are influenced by factor main effects, interactions and covariates. When analyzing these types of da…
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The performance of several widely-known methods for analyzing data utilizing nonlinear mixed effects models are evaluated via simulation in two settings. Each setting is a hierarchical mixed effects model in which repeated observations on a subject are modeled by subject-specifi…