Sample size taking into account SbF [Power / Sample Size]
Thank you for your reply!
❝ Don't invest too much in understanding or verifying this table.
❝ It shows sample sizes for the so-called "individual bioequivalence" in which the SbF (subject by formulation) interaction, your σD, plays a prominent role. "Individual bioequivalence" is nowadays history only.
But when we assume different between-subject variation for T and R, σD is never gonna be 0, and I right? I am not interested in the old-fashion "Individual Bioequivalence" either, but in the RSABE context, we are assuming same between-subject variation for T and R so that σD could be 0?
❝ The code of PowerTOST is open source, means you can inspect it, either in the source code tar-ball or even without that, just typing
❝ library(PowerTOST)
❝ power.RSABE
❝ At the very beginning of the code there is an expression s2D <- 0
. Guess what it means .
I will try it out. Thank you for the information.
❝ Unfortunately this link doesn't function since some time ago. Further I couldn't find the reference at other places of the Inder-nett. Drop me a mail and I can send you a backup copy of this technical report. BTW: It has two parts.
Thank you and I would appreciate your help!
Junhao//
Complete thread:
- Determination of sample size including the factor of σD junhao 2016-07-08 04:34 [Power / Sample Size]
- Sample size taking into account SbF d_labes 2016-07-13 13:49
- Sample size taking into account SbFjunhao 2016-07-14 05:54
- Sample size taking into account SbF d_labes 2016-07-19 09:18
- Appendix C, Table I Helmut 2016-07-19 15:07
- Appendix C, Table I d_labes 2016-07-20 11:27
- I don’t care Helmut 2016-07-20 15:45
- Appendix C, Table I d_labes 2016-07-20 11:27
- Appendix C, Table I Helmut 2016-07-19 15:07
- Sample size taking into account SbF d_labes 2016-07-19 09:18
- Sample size taking into account SbFjunhao 2016-07-14 05:54
- Sample size taking into account SbF d_labes 2016-07-13 13:49