Inferring pulmonary exposure based on clinical PK data: accuracy and precision of model-based deconvolution methods
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-8744
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Inferring pulmonary exposure based on clinical PK data: accuracy and precision of model-based deconvolution methods ; day:28 ; month:9 ; year:2021 ; pages:1-15
Journal of pharmacokinetics and pharmacodynamics ; (28.9.2021), 1-15
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10928-021-09780-x
- URN
-
urn:nbn:de:101:1-2021121809524844056249
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Himstedt, Anneke
- Borghardt, Jens Markus
- Wicha, Sebastian Georg
- SpringerLink (Online service)
Other Objects (12)
Characterising ChIP-seq binding patterns by model-based peak shape deconvolution
A general linear model-based approach for inferring selection to climate
Affinity-based target deconvolution of safranal
Model-Based Clustering
Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution
DSGE model-based forecasting
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Deconvolution-based Image Enhancement for Optical Coherence Tomography
Enhancing resilience: Model-based simulations
Model-based vehicle dynamics control
Model-based software performance analysis
Characterising ChIP-seq binding patterns by model-based peak shape deconvolution
A general linear model-based approach for inferring selection to climate
Affinity-based target deconvolution of safranal
Model-Based Clustering
Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution
DSGE model-based forecasting
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Deconvolution-based Image Enhancement for Optical Coherence Tomography
Enhancing resilience: Model-based simulations
Model-based vehicle dynamics control
Model-based software performance analysis
Characterising ChIP-seq binding patterns by model-based peak shape deconvolution
A general linear model-based approach for inferring selection to climate
Affinity-based target deconvolution of safranal
Model-Based Clustering
Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution
DSGE model-based forecasting
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Model‐Based Overpotential Deconvolution, Partial Impedance Spectroscopy, and Sensitivity Analysis of a Lithium‐Ion Cell with Blend Cathode
Deconvolution-based Image Enhancement for Optical Coherence Tomography
Enhancing resilience: Model-based simulations
Model-based vehicle dynamics control