EMA - Exclusion of data [Regulatives / Guidelines]
Dear All!
The EMA guideline states under Reasons for exclusion (page 14/27):
"Exclusion of data cannot be accepted on the basis of statistical analysis or for pharmacokinetic reasons alone, ...
The exceptions to this are:
1) A subject with lack of any measurable concentrations or only very low plasma concentrations for reference medicinal product. A subject is considered to have very low plasma concentrations if its AUC is less than 5% of reference medicinal product geometric mean AUC (which should be calculated without inclusion of data from the outlying subject)."
In implementing this I wonder
about some peculiarities for distinct designs and/or settings:
The EMA guideline states under Reasons for exclusion (page 14/27):
"Exclusion of data cannot be accepted on the basis of statistical analysis or for pharmacokinetic reasons alone, ...
The exceptions to this are:
1) A subject with lack of any measurable concentrations or only very low plasma concentrations for reference medicinal product. A subject is considered to have very low plasma concentrations if its AUC is less than 5% of reference medicinal product geometric mean AUC (which should be calculated without inclusion of data from the outlying subject)."
In implementing this I wonder
about some peculiarities for distinct designs and/or settings: - May this be applied also in the truncated Area setting?
- Is this also applicable for AUC(0-tau) in multiple dose studies?
- What is the geometric mean in replicate cross-over studies? Overall or calculated for each replicate?
- What to do in case of crossover design with more than one Reference?
- Should an algorithm implemented recursively (i.e. repeated after exclusion of identified outlier with respect to the 5% criterion in a first run)?
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- EMA - Exclusion of datad_labes 2012-01-24 11:09 [Regulatives / Guidelines]
- EMA - Exclusion of data Helmut 2012-01-24 15:53
- EMA - Exclusion of data ElMaestro 2012-01-24 16:47
