Power R WinNonLin [Power / Sample Size]
Hi everybody
From the research 2x2x2 (34 - balanced) for power estimation the following results are taken: β=0.20, α=0.05, CV = 0.32, PE = 0.92
FARTSSIE17: 55%
R: 55%
WinNonLin: Power_80_20: 89%
Why is this happening?
Regards
From the research 2x2x2 (34 - balanced) for power estimation the following results are taken: β=0.20, α=0.05, CV = 0.32, PE = 0.92
FARTSSIE17: 55%
R: 55%
WinNonLin: Power_80_20: 89%
Why is this happening?
Regards
Complete thread:
- Power R WinNonLinYura 2018-01-23 15:02 [Power / Sample Size]
- Power R WinNonLin d_labes 2018-01-23 15:25
- Power_TOST in PHX/WNL 6.4+ Helmut 2018-01-23 16:05
- Power_TOST in PHX/WNL 6.4+ d_labes 2018-01-23 16:54
- Power_TOST in PHX/WNL 6.4+ Helmut 2018-01-23 17:25
- Power_TOST in PHX/WNL 6.4+ Yura 2018-01-23 21:55
- Power_TOST in PHX/WNL 6.4+ d_labes 2018-01-23 16:54
- Power_TOST in PHX/WNL 6.4+ Helmut 2018-01-23 16:05
- Power R WinNonLin pjs 2018-03-23 10:41
- Power of two stage design d_labes 2018-03-23 17:02
- Power2Stage / power.2stage() Helmut 2018-03-24 15:49
- Power R WinNonLin d_labes 2018-01-23 15:25