Nonlinear models for repeated measurement data: An overview and update

By Marie Davidian, D. Giltinan. 2003

435 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Simulation Study Comparison of Bayesian Estimation With Conventional Methods for Estimating Unknown Change Points (2008, methodology): “To characterize the change pattern of observed phenomena, different dynamic functions, linear functions (e.g., Verbeke & Molenberghs, 2000), and nonlinear functions (e.g., Davidian & Giltinan, 1995, 2003) have been used.”
A non-linear hierarchical mixed model to describe tree height growth (2006, methodology): “Davidian and Giltinan (1995, 2003) describe the mixed model method with nonlinear functions, and Pinheiro and Bates (2000) have attempted to develop suitable software.”
A unified framework for multilevel uncertainty quantification in Bayesian inverse problems (2016, neutral): “Some recent reviews about the methods that were developed in these fields can be found in [14, 15].”
Latent Variable Modelling: A Survey * (2007, background): “We refer to Davidian & Giltinan (2003) for a useful recent overview of nonlinear mixed effects models.”
A note on BIC in mixed-effects models (2014, background): “Population studies are relevant in various fields such as pharmacokinetics or public health, for example to study a disease progression and to evaluate the effect of a treatment or the impact of physiological covariates [3, 4, 24].”