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RegisterMissings [General Statistics]
Dear Detlew,
You are right.
Yes. And I tried both with some of my studies. The difference is small but in borderline case it could mean pass or fail BE
In addition to the scenarios you mentioned, what about subject with 0R + 2T? Theoretically they can provide information on ISCV for T.
To make a list of what cannot be included is much easier,
So, for the moment I prefer using subjects with all 4 periods just to be safe (provided it was properly described in the protocol). Otherwise, situation would be more complicated.
❝ What you describe is the part of the SAS code concerning (µT-µR)^2 of the linearized scABE criterion (ilat analysis).
You are right.
❝ For the part dealing with intra-subject variability the Progesterone / warfarin guidance SAS code (dlat analysis) does not automatically drop subjects having missings under Test treatment.
Yes. And I tried both with some of my studies. The difference is small but in borderline case it could mean pass or fail BE
❝ What to do here? Retain subjects having 2R, but only 1T or 0T? Or also drop them as we have done in the R code in the post below?
In addition to the scenarios you mentioned, what about subject with 0R + 2T? Theoretically they can provide information on ISCV for T.
To make a list of what cannot be included is much easier,
- 1T or 1R
- 1T+1R
So, for the moment I prefer using subjects with all 4 periods just to be safe (provided it was properly described in the protocol). Otherwise, situation would be more complicated.
—
All the best,
Shuanghe
All the best,
Shuanghe
Complete thread:
- SAS and R (?) for variability comparison (FDA NTID Guidance) Shuanghe 2015-09-25 18:48 [General Statistics]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- SAS and R (?) for variability comparison (FDA NTID Guidance) jag009 2015-09-25 22:42
- SAS and R (?) for variability comparison (FDA NTID Guidance) Shuanghe 2015-09-28 17:05
- Missings d_labes 2015-09-30 10:52
- MissingsShuanghe 2015-09-30 15:34
- Missings d_labes 2015-09-30 10:52
- SAS and R (?) for variability comparison (FDA NTID Guidance) Shuanghe 2015-09-28 17:05
- LaTeX, MathML, PNGs Helmut 2015-09-27 14:23
- OT: LaTeX, MathML, PNGs Shuanghe 2015-09-28 17:32
- OT: LaTeX, MathML, PNGs Helmut 2015-09-28 17:46
- OT: LaTeX, MathML, PNGs Shuanghe 2015-09-28 17:32
- Quantiles of the F-distribution d_labes 2015-09-28 09:45
- Quantiles of the F-distribution Shuanghe 2015-09-28 17:39
- What's wrong with this picture? Shuanghe 2015-09-28 18:57
- Suggestion Helmut 2015-09-29 02:22
- Suggestion Shuanghe 2015-09-29 18:44
- OT: The Hadleyverse d_labes 2015-09-30 08:44
- Suggestion Shuanghe 2015-09-29 18:44
- Another suggestion for a R-solution d_labes 2015-09-29 14:26
- Wow – another gem from the master! Helmut 2015-09-29 16:31
- Another suggestion for a R-solution Shuanghe 2015-09-29 18:37
- Another R-solution d_labes 2015-09-29 21:55
- @Shuanghe: Outdated URL gvk 2019-05-21 11:36
- Suggestion Helmut 2015-09-29 02:22
- SAS and R (?) for variability comparison (FDA NTID Guidance) M.tareq 2017-04-14 15:04
- SAS and R (?) for variability comparison (FDA NTID Guidance) M.tareq 2017-04-15 01:01
- SAS and R (?) for variability comparison (FDA NTID Guidance) jag009 2015-09-25 22:42
Ing. Helmut Schütz