Fieller’s (‘fiducial’) confidence interval [General Statistics]
Hi Hötzi,
For such cases we are setting
PowerTOST says about theta1: "Defaults to 0.8 if logscale=TRUE or to -0.2 if logscale=FALSE. "
So as I read it, when
I will read up on the other stuff. Still not sure how to derive the CI. it is a really interesting problem, though. Feels like going back into a discussion which was closed decades ago before I knew anything about BE
Thanks PharmCat for the ref. below.
❝ Nope.
For such cases we are setting
logscale
to False, right?PowerTOST says about theta1: "Defaults to 0.8 if logscale=TRUE or to -0.2 if logscale=FALSE. "
So as I read it, when
logscale=F
theta1 defaults to -.2 or we set it to something negative. This is how I think Hauchke's f1 and theta1 get confused.I will read up on the other stuff. Still not sure how to derive the CI. it is a really interesting problem, though. Feels like going back into a discussion which was closed decades ago before I knew anything about BE
Thanks PharmCat for the ref. below.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- On CI calculation, untransformed metrics ElMaestro 2019-11-29 03:40 [General Statistics]
- Fieller’s (‘fiducial’) confidence interval Helmut 2019-11-29 10:03
- Fieller’s (‘fiducial’) confidence intervalElMaestro 2019-11-29 15:53
- Fieller’s (‘fiducial’) confidence interval d_labes 2019-11-29 17:20
- Fieller’s (‘fiducial’) confidence interval ElMaestro 2019-11-30 05:11
- power.TOST with logscale=FALSE d_labes 2019-11-30 14:01
- Fieller’s (‘fiducial’) confidence interval ElMaestro 2019-11-30 05:11
- Fieller’s (‘fiducial’) confidence interval d_labes 2019-11-29 17:20
- Fieller’s (‘fiducial’) confidence intervalElMaestro 2019-11-29 15:53
- On CI calculation, untransformed metrics PharmCat 2019-11-29 12:05
- Fieller’s (‘fiducial’) confidence interval Helmut 2019-11-29 10:03