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

Authors


Kloprogge, F More by this author
Simpson, JA More by this author
Tarning, J More by this author
Publisher:
Springer New York LLC
Journal:
AAPS Journal
Volume:
16
Issue:
5
Pages:
1110-1118
Publication date:
2014
DOI:
EISSN:
1550-7416
URN:
uuid:9d7d624a-c15b-443a-bf95-b7c3e70fd13f
Source identifiers:
489062
Local pid:
pubs:489062

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