Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development

Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development

Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly been applied to learning activities in drug development. However, such analyses can also serve as the primary analysis in confirmatory studies, which is expected to bring higher power than traditional...

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Bibliographic Details
Main Author: Dosne, Anne-Gaëlle
Format: Doctoral Thesis
Language:English
Published: Uppsala universitet, Institutionen för farmaceutisk biovetenskap 2016
Subjects:
pharmacometrics
nonlinear mixed-effects models
confirmatory trials
residual error modeling
parameter uncertainty
sampling importance resampling
model-averaging
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-305697
http://nbn-resolving.de/urn:isbn:978-91-554-9734-7

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-305697
http://nbn-resolving.de/urn:isbn:978-91-554-9734-7

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