Misunderstanding [🇷 for BE/BA]
❝ We should bear in mind that when we back transform to the original scale we end up with asymmetry with respect to +/-.
This is exactly the idea – reflecting the distributional properties of the data:
length of upper / lower whiskers:
0.826 0.950 0.859 0.730 0.528 0.411 0.329 0.273 0.228 0.179 0.111 0.0566
0.607 0.735 0.693 0.607 0.454 0.358 0.286 0.232 0.185 0.137 0.0758 0.0337
❝ Therefore, it is IMHO not appropriate to do +/- back transformed standard deviation. Symmetry is however obtained with respect to * and /. So the error bars should be such that lower end = gMean / gSD and upper end = gMean * gSD, where gSD = exp(standard deviation from log-transformed values).
❝ [Mathematical rationale: exp(m - s) = exp(m)/exp(s) = gMean / gSD and exp(m + s) = exp(m) * exp(s) = gMean * gSD), where m and s are mean and sd on log scale, respectively]
Can’t agree more. I did not express myself clearly. Blue your method and red the one* I meant. Of course they are equivalent.
x <- c(1, 2, 4)
log.x <- log(x)
mean.log <- mean(log.x)
SD.log <- sd(log.x)
gMean <- exp(mean.log)
gSD <- exp(SD.log)
BL.lohi <- c(gMean / gSD, gMean * gSD)
HS.lohi <- exp(mean.log + c(-1, +1) * SD.log)
unique(BL.lohi == HS.lohi)
# [1] TRUE
- Also used in Phoenix/WinNonlin.
──────────────
Recipe for novices setting up the plot. I assume a table with at least the following columns: subject, scheduled, time, concentration. It is important to have a column with scheduled times. You must not use the actual times.
Descriptive Stats:
Mappings
concentration ⦿ Summary
scheduled ⦿ Sort
Options
☑Number of SD
1
Execute. Results > Output Data > Results [right click] Send To > Plotting > XY Plot
XY Plot:
Mappings
scheduled ⦿ X
GeometricMean ⦿ Y
GEOLowerSD Error Bars ⦿ Lower
GEOUpperSD Error Bars ⦿ Upper
Options
Graphs > GeometricMean vs scheduled > Error Bars > Content
Change theUser Calculation Type
Relative to Absolute
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- R code for analyzing classical 2X2 crossover designed bioequivalence data lizhao 2016-01-22 00:13 [🇷 for BE/BA]
- R code for analyzing classical 2X2 crossover designed bioequivalence data ElMaestro 2016-01-22 00:59
- R code for analyzing classical 2X2 crossover designed bioequivalence data lizhao 2016-01-22 01:26
- On random effects and bogus statements ElMaestro 2016-01-22 12:13
- FDA 'own' SAS code for 2x2 d_labes 2016-01-27 09:57
- FDA 'own' SAS code for 2x2 nobody 2016-01-27 10:09
- OT: PM to ElMaestro Helmut 2016-01-27 13:39
- On coffee and such... ElMaestro 2016-01-27 13:47
- FDA 'own' SAS code for 2x2 nobody 2016-01-27 10:09
- Geometric means ± SD Helmut 2016-01-27 13:51
- Geometric means ± SD nobody 2016-01-27 15:20
- Money makes the world go ’round Helmut 2016-01-27 16:11
- Money makes the world go ’round nobody 2016-01-27 16:31
- Fixed or random effect kumarnaidu 2016-11-04 14:05
- PROC GLM fixes Subject mittyri 2016-11-04 23:00
- PROC GLM fixes Subject kumarnaidu 2016-11-05 05:22
- PROC GLM fixes Subject mittyri 2016-11-05 10:13
- PROC GLM fixes Subject kumarnaidu 2016-11-07 06:24
- PROC GLM fixes Subject mittyri 2016-11-07 11:57
- PROC GLM fixes Subject kumarnaidu 2016-11-07 12:42
- PROC GLM fixes Subject mittyri 2016-11-07 11:57
- PROC GLM fixes Subject kumarnaidu 2016-11-07 06:24
- PROC GLM fixes Subject mittyri 2016-11-05 10:13
- PROC GLM fixes Subject kumarnaidu 2016-11-05 05:22
- PROC GLM fixes Subject mittyri 2016-11-04 23:00
- Fixed or random effect kumarnaidu 2016-11-04 14:05
- Money makes the world go ’round nobody 2016-01-27 16:31
- Money makes the world go ’round Helmut 2016-01-27 16:11
- Geometric means ± SD Ben 2016-11-08 21:20
- MisunderstandingHelmut 2016-11-09 15:29
- Misunderstanding Ben 2016-11-14 19:40
- RTFM Helmut 2016-11-14 21:50
- Misunderstanding Ben 2016-11-14 19:40
- MisunderstandingHelmut 2016-11-09 15:29
- Geometric means ± SD nobody 2016-01-27 15:20
- FDA 'own' SAS code for 2x2 d_labes 2016-01-27 09:57
- On random effects and bogus statements ElMaestro 2016-01-22 12:13
- R code for analyzing classical 2X2 crossover designed bioequivalence data lizhao 2016-01-22 01:26
- R code for analyzing classical 2X2 crossover designed bioequivalence data ElMaestro 2016-01-22 00:59