On nonlinear random effects models for repeated measurements
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Publication:4019263
DOI10.1080/03610919108812966zbMath0850.62823OpenAlexW2012345145MaRDI QIDQ4019263
Randall B. Wilkening, Gary O. Zerbe, David W. Boyle, Kathryn Hirst
Publication date: 16 January 1993
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919108812966
Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)
Related Items (3)
Two Taylor-series approximation methods for nonlinear mixed models ⋮ Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data ⋮ Consequences of misspecifying assumptions in nonlinear mixed effects models.
Cites Work
- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- Unbalanced Repeated-Measures Models with Structured Covariance Matrices
- Use and Abuse of Variance Models in Regression
- Models for Longitudinal Data: A Generalized Estimating Equation Approach
- A Bayesian Approach to Nonlinear Random Effects Models
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