Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates
From MaRDI portal
Publication:5754768
DOI10.1198/016214504000001006zbMath1117.62446OpenAlexW2084192089MaRDI QIDQ5754768
Publication date: 20 August 2007
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214504000001006
Related Items (20)
Unsupervised learning of pharmacokinetic responses ⋮ Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm ⋮ Estimation of parameters in incomplete data models defined by dynamical systems ⋮ Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies ⋮ Fast inference for robust nonlinear mixed-effects models ⋮ Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates ⋮ Parameter estimation of nonlinear mixed-effects models using first-order conditional linearization and the EM algorithm ⋮ Hybrid Bayesian inference on HIV viral dynamic models ⋮ Flexible multivariate nonlinear models for bioequivalence problems ⋮ Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects ⋮ Nonlinear mixed-effects HIV dynamic models with considering left-censored measurements ⋮ Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response ⋮ Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions ⋮ Confidence intervals for a common mean with missing data with applications in an AIDS study ⋮ An approximate method for nonlinear mixed-effects models with nonignorably missing covari\-a\-tes ⋮ Generalized partially linear models with missing covariates ⋮ Discussion of ``Equi-energy sampler by Kou, Zhou and Wong ⋮ Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model ⋮ Generalized linear mixed models with informative dropouts and missing covariates ⋮ A computationally efficient method for nonlinear mixed-effects models with nonignorable missing data in time-varying covariates
This page was built for publication: Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates