Export this Abstract | Print this Abstract | Add to my preferred Abstracts list | My preferred Abstracts list (0) | Back to Search
A comparison of performance between parametric and nonparametric estimation for nonlinear mixed-effects models
- In: Poster Presentation
- At: Stockholm (Sweden) (2017)
- Type: Poster
- Poster code: P-A-107-Monday
- By: WANG, Shijun (Uppsala University, Department of pharmaceutical bioscience, uppsala, Sweden)
- Co-author(s): Shijun Wang: Department of pharmaceutical bioscience, Uppsala University, uppsala, Sweden
Andrew Hooker: Department of pharmaceutical, Uppsala University, Uppsala, Sweden
Mats Karlsson: Department of pharmaceutical bioscience, Uppsala University, Uppsala, Sweden - Abstract:
Backgrounds
Nonparametric (NP) methods estimating discrete parameter distributions offer an alternative to parametric methods in pharmacometric analyses.Aims
This study aims to evaluate the performance of the NP estimation method in NONMEM 7 in comparison with the first-order conditional estimation method with interaction (FOCEI)1Methods
The FOCEI.. The access to the whole abstract and if available the presentation file is available to FIP members and to congress participants of that specific congress.
Please login
Last update 28 September 2023