Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Effects Models With Nonnormal Random Effects

@inproceedings{Nelson2007UseOT,
  title={Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Effects Models With Nonnormal Random Effects},
  author={Kerrie P Nelson and Joseph A. Ibrahim and Michael I. Parzen and Robert L. Strawderman},
  year={2007}
}
This article describes a simple computational method for obtaining the maximum likelihood estimates (MLE) in nonlinear mixed-effects models when the random effects are assumed to have a nonnormal distribution. Many computer programs for fitting nonlinear mixed-effects models, such as PROC NLMIXED in SAS, require that the random effects have a normal… CONTINUE READING