Robust population designs for longitudinal linear regression model with a random intercept
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Publication:1643017
DOI10.1007/s00180-017-0767-6zbMath1417.62222OpenAlexW2761210953MaRDI QIDQ1643017
Yun-Juan Wang, Xiao-Dong Zhou, Rong-Xian Yue
Publication date: 18 June 2018
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-017-0767-6
Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)
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Cites Work
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- Minimax optimal designs via particle swarm optimization methods
- \(D\)- and \(V\)-optimal population designs for the quadratic regression model with a random intercept term
- Optimal designs for random effect models with correlated errors with applications in population pharmacokinetics
- On optimal design for a Poisson regression model with random intercept
- Optimal regression designs in the presence of random block effects
- Optimal designs in growth curve models. II: Correlated model for quadratic growth: Optimal designs for parameter estimation and growth prediction
- Optimal designs in growth curve models. I: Correlated model for linear growth: Optimal designs for slope parameter estimation and growth prediction
- The optimal design of blocked and split-plot experiments
- Integral approximations for computing optimum designs in random effects logistic regression models
- Discrete particle swarm optimization for constructing uniform design on irregular regions
- Simulation-based fully Bayesian experimental design for mixed effects models
- Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation
- \(V\)- and \(D\)-optimal population designs for the simple linear regression model with a random intercept term
- A maximin criterion for the logistic random intercept model with covariates
- Optimal Design for Nonlinear Response Models
- Maximin D-Optimal Designs for Longitudinal Mixed Effects Models
- Robust Designs for Linear Mixed Effects Models
- Designs for generalized linear models with random block effects via information matrix approximations
- Response Surface Models with Random Block Effects
- Optimal allocation of time points for the random effects model
- Optimal design in random-effects regression models
- Adaptive Rejection Sampling for Gibbs Sampling
- Optimal Designs for the Prediction of Individual Parameters in Hierarchical Models
- Locally Optimal Designs for Estimating Parameters
- Linear mixed models for longitudinal data
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