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...

Publication status:
Published

### Access Document

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

### Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Author
Journal:
AAPS journal
Volume:
16
Issue:
5
Pages:
1110-1118
Publication date:
2014-09-01
DOI:
EISSN:
1550-7416
ISSN:
1550-7416
Source identifiers:
475823
Language:
English
Keywords:
Pubs id:
pubs:475823
UUID:
uuid:fa709f50-dd2a-432e-a8f1-e5e2ef91df69
Local pid:
pubs:475823
Deposit date:
2014-08-18