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Statistical power calculations for mixed pharmacokinetic study designs using a population approach.

Abstract:

Simultaneous modelling of dense and sparse pharmacokinetic data is possible with a population approach. To determine the number of individuals required to detect the effect of a covariate, simulation-based power calculation methodologies can be employed. The Monte Carlo Mapped Power method (a simulation-based power calculation methodology using the likelihood ratio test) was extended in the current study to perform sample size calculations for mixed pharmacokinetic studies (i.e. both sparse a...

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Publication status:
Published

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Publisher copy:
10.1208/s12248-014-9641-4

Authors


Kloprogge, F More by this author
Simpson, JA More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, Thailand/Laos MOP
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, Thailand/Laos MOP
Tarning, J More by this author
Journal:
The AAPS journal
Volume:
16
Issue:
5
Pages:
1110-1118
Publication date:
2014-09-05
DOI:
EISSN:
1550-7416
ISSN:
1550-7416
URN:
uuid:fa709f50-dd2a-432e-a8f1-e5e2ef91df69
Source identifiers:
475823
Local pid:
pubs:475823

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