Stochastic Differential Equations (SDEs) in NONMEM for Probing Population Pharmacokinetic Model Misspecification: Diagnostic Utility, Practical Considerations, and Future Directions

Ping Chen, Robert J. Bauer, Yan Li

Open source

DOI
10.1208/s12248-026-01302-2
Published
2026-09-04
Container
The AAPS Journal
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1208/s12248-026-01302-2,
  title = {Stochastic Differential Equations (SDEs) in NONMEM for Probing Population Pharmacokinetic Model Misspecification: Diagnostic Utility, Practical Considerations, and Future Directions},
  author = {Ping Chen and Robert J. Bauer and Yan Li},
  year = {2026},
  journal = {The AAPS Journal},
  doi = {10.1208/s12248-026-01302-2},
  url = {https://doi.org/10.1208/s12248-026-01302-2}
}

RIS

TY  - JOUR
TI  - Stochastic Differential Equations (SDEs) in NONMEM for Probing Population Pharmacokinetic Model Misspecification: Diagnostic Utility, Practical Considerations, and Future Directions
AU  - Ping Chen
AU  - Robert J. Bauer
AU  - Yan Li
PY  - 2026
JO  - The AAPS Journal
DO  - 10.1208/s12248-026-01302-2
UR  - https://doi.org/10.1208/s12248-026-01302-2
ER  - 

APA

Chen, P., Bauer, R. J., & Li, Y. (2026). Stochastic Differential Equations (SDEs) in NONMEM for Probing Population Pharmacokinetic Model Misspecification: Diagnostic Utility, Practical Considerations, and Future Directions. The AAPS Journal. https://doi.org/10.1208/s12248-026-01302-2

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