Subject within sequence effects [General Statistics]
Hi Andrew,
What you see is that Subjects contribute to "very much" to the variability of your data. This is very often so, because you have different subjects who absorb, distribute, metabolise and eliminate the drug individually and thereby differently. A big person with lots of plasma will -all other factors equal- have low AUC's and Cmax's and vice versa. And so on and so forth. Your observation is a confirmation that all men are not born equal. It does not imply that your study is invalid and it does not affect the conclusion re. bioequivalence.
❝ However, again for all primary parameters, the P values for subject (sequence) are highly significant.
❝
❝ Can you tell me what, if anything, this might mean?
What you see is that Subjects contribute to "very much" to the variability of your data. This is very often so, because you have different subjects who absorb, distribute, metabolise and eliminate the drug individually and thereby differently. A big person with lots of plasma will -all other factors equal- have low AUC's and Cmax's and vice versa. And so on and so forth. Your observation is a confirmation that all men are not born equal. It does not imply that your study is invalid and it does not affect the conclusion re. bioequivalence.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Subject within sequence effects Dr Andrew Leary 2012-05-02 17:48 [General Statistics]
- Subject within sequence effects Helmut 2012-05-02 18:31
- Subject within sequence effectsElMaestro 2012-05-02 20:10
- Subject within sequence effects Dr Andrew Leary 2012-05-03 10:20
- Should concentrate on brewing Helmut 2012-05-03 11:46
- Subject within sequence effects Dr Andrew Leary 2012-05-03 10:20