## First hints for Phoenix [General Statistics]

Hi Lucas,

» This is how it would look like according to them: […]

Interesting! I didn’t count, but ~200 subjects is not common in BE studies. It will not look that nice in the real world. The x-axis of the first plot is strange (negative means – I beg your pardon?). The distribution doesn’t look normal but skewed to the

However, let’s see what you can get in PHX (I numbered the panels in your plot):

» This is how it would look like according to them: […]

Interesting! I didn’t count, but ~200 subjects is not common in BE studies. It will not look that nice in the real world. The x-axis of the first plot is strange (negative means – I beg your pardon?). The distribution doesn’t look normal but skewed to the

*left** and the Q-Q plot looks extremely ugly. That’s actually a great example which EDA would suggest to use another transformation (*e.g.*, ℯ^{x}or x^{n}, where n>1).However, let’s see what you can get in PHX (I numbered the panels in your plot):

- Plotting > XY-Plot (though for the abscissa I would either use the subject’s ID or the predicted model values).

- Plotting > Histogram ☑ Show relative Frequency. In the current version (6.3) it is not possible to overlay a normal distribution, maybe in the next release?

- Plotting > QQ Plot.

- Upper part = trivial. Lower part = strange. In PHX the line in the Q-Q plot is fitted automatically – I don’t think it is possible to extract the parameters and AIC, BIC.

BTW, these values are only useful in comparing*different*models. I cannot imagine what might its purpose here. AICC is the AIC corrected for small sample sizes. It proves that the statistician is a*“push-the-button-type”*who does not know what he is doing. Of course you could fit the standard quantiles*vs.*stud. resid’s by PHX’ linear model.

*types*of plots arranged in an array (aka trelis/lattice plots) are not supported. Either export relevant data from PHX and continue the analysis in R or generate the plots in PHX and paste them into a 4-cell table in your preferred text-processor.- AUC and C
_{max}have been shown to follow a log-normal distribution – which is skewed to the*right*. However, in order to apply parametric methods the residuals (which are estimates of the residual error) must be normal – not the original values. The log-transformation is more a convention than justified. I have never seen values skewed to the left. Which kind of stuff is this?

—

Helmut Schütz

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*Dif-tor heh smusma*🖖Helmut Schütz

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### Complete thread:

- Qualitative analysis of the ANOVA residuals Lucas 2014-02-19 14:27 [General Statistics]
- Qualitative analysis of the ANOVA residuals Helmut 2014-02-19 15:22
- Qualitative analysis of the ANOVA residuals Lucas 2014-02-19 15:58
- Qualitative analysis of the ANOVA residuals Helmut 2014-02-19 16:25
- Qualitative analysis of the ANOVA residuals Lucas 2014-02-19 17:20
- Qualitative analysis of the ANOVA residuals Lucas 2014-02-20 19:07
- First hints for PhoenixHelmut 2014-02-20 20:11
- Phoenix: residuals Helmut 2014-02-21 19:25
- Phoenix: residuals BRN 2014-03-04 15:15
- Phoenix: residuals Helmut 2014-03-04 16:52

- Phoenix: residuals Rosy 2018-10-15 07:03
- Software validation Helmut 2018-10-15 11:43
- Software validation Rosy 2018-10-18 00:38
- Avoid raw residuals Helmut 2018-10-18 17:14
- Avoid raw residuals Rosy 2018-10-18 18:05

- Avoid raw residuals Helmut 2018-10-18 17:14

- Software validation Rosy 2018-10-18 00:38

- Software validation Helmut 2018-10-15 11:43

- Phoenix: residuals BRN 2014-03-04 15:15
- Phoenix → R Helmut 2014-02-23 02:20
- Phoenix → R Lucas 2014-02-25 19:28

- Qualitative analysis of the ANOVA residuals Helmut 2014-02-19 16:25

- Qualitative analysis of the ANOVA residuals Lucas 2014-02-19 15:58
- Qualitative analysis of the ANOVA residuals ElMaestro 2014-02-19 15:32
- Qualitative analysis of the ANOVA residuals Helmut 2014-02-19 16:06
- Qualitative analysis of the ANOVA residuals Lucas 2014-02-19 16:13
- Qualitative analysis of the ANOVA residuals ElMaestro 2014-02-19 20:40

- Qualitative analysis of the ANOVA residuals Helmut 2014-02-19 15:22