Journal article

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...

Access Document

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
Language:
English
Keywords: