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Dear HS,
Hmmmm, this I would express differently. Cmax etc varies from 0 and upwards whilst the transformed (log) Cmax etc is from -inf to +inf. Log transformed parameters (C, AUC) go from -inf to +inf.
I meant something else though: Let's for simplicity consider the subject with the highest Cmax in the dataset (log or not is not the important issue here). Now we do a parametric analysis of (log) Cmin and we consider the (log) Cmin residual e for the same subject and we disregard other factors for now (makes no difference but makes it less easy to grasp). We know something about e; the (log) Cmax is higher than average (log) Cmin so average (log) Cmin plus e will be lower than (log) Cmax for that subject.
Yes, I meant nonparametric. Sorry about the meaning-disturbing typo.
EM.
❝ Not quite. The assumptions in the parametric model of any given metric are independent from each other, 
❝ Untransformed metrics have limits of [-∞, +∞], whilst log-transformed have limits of [0, +∞], but in both cases the probability equals 1 (in other words, for Cmin and Cmax the log-transformation lead to the same lower limit – I wouldn’t call it a constraint – namely zero).
Hmmmm, this I would express differently. Cmax etc varies from 0 and upwards whilst the transformed (log) Cmax etc is from -inf to +inf. Log transformed parameters (C, AUC) go from -inf to +inf.
I meant something else though: Let's for simplicity consider the subject with the highest Cmax in the dataset (log or not is not the important issue here). Now we do a parametric analysis of (log) Cmin and we consider the (log) Cmin residual e for the same subject and we disregard other factors for now (makes no difference but makes it less easy to grasp). We know something about e; the (log) Cmax is higher than average (log) Cmin so average (log) Cmin plus e will be lower than (log) Cmax for that subject.
❝ ❝ (I shall abstain from proposing parametric statistics as a potential alternative, notch notch wink wink!)
❝
❝ 
You mean nonparametric statistics? Well, cough…
Yes, I meant nonparametric. Sorry about the meaning-disturbing typo.
EM.
Complete thread:
- Cmin (EU) Helmut 2009-12-21 13:08 [Surveys]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Cmin (EU) ElMaestro 2009-12-22 14:17
- Terminology issues Helmut 2009-12-22 14:30
- Philostics ElMaestro 2009-12-27 00:47
- Philostics Helmut 2009-12-27 02:01
- PhilosticsElMaestro 2009-12-27 13:28
- Philostics Helmut 2009-12-27 15:07
- Philostics ElMaestro 2009-12-28 02:46
- Philostics Helmut 2009-12-27 15:07
- PhilosticsElMaestro 2009-12-27 13:28
- Philostics Helmut 2009-12-27 02:01
- Philostics ElMaestro 2009-12-27 00:47
- Terminology issues Helmut 2009-12-22 14:30
- Cmin (EU) d_labes 2010-01-04 10:45
- Repeated profiles Helmut 2010-01-04 13:53
- Cmin-value <LLOQ beman 2010-01-04 15:43
- Cmin-value <LLOQ Helmut 2010-01-04 16:34
- Cmin (EU) ElMaestro 2009-12-22 14:17
Ing. Helmut Schütz