PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models.
- DOI
- 10.1016/j.cmpb.2018.01.008
- Published
- 2018 Mar
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2018.01.008,
title = {PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models.},
author = {Dumont C and Lestini G and Le Nagard H and Mentré F and Comets E and Nguyen TT and PFIM Group},
year = {2018},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2018.01.008},
url = {https://doi.org/10.1016/j.cmpb.2018.01.008}
}RIS
TY - JOUR TI - PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models. AU - Dumont C AU - Lestini G AU - Le Nagard H AU - Mentré F AU - Comets E AU - Nguyen TT AU - PFIM Group PY - 2018 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2018.01.008 UR - https://doi.org/10.1016/j.cmpb.2018.01.008 ER -
APA
C, D., G, L., H, L. N., F, M., E, C., TT, N., & Group, P. (2018). PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2018.01.008
Source records
- pubmed · retrieved 2026-11-10T07:08:29.672Z