Sample data & results [Software]
Dear Ohlbe and Helmut,
thanks for your fast replies!
Here is a sample data set of 8 subjects, maybe this can help to illustrate my problem...
My SAS results (PROC GLM) for these data are
and this is what WinNonlin calculated:
Dear Ohlbe,
I think I have picked the right F- and p-values from my output, I am using PROC GLM (and I just checked, the output is identical with PROC ANOVA) and picked the Sequence, Subject(Sequence), Treatment and Period results from the bottom part and the Error results from the top part.
Dear Helmut,
could this be a problem with my WNL version? (I noticed that you used v5.2, whereas I have v5.1.1)
As you can see above, the sums of squares are not the problem, it is only the F- and p-values that differ.
I understood that the F-value is the ratio of the effect mean square and the mean square error. This is correct for the SAS results (sequence: 0.6105/0.2481=2.46), but not for WinNonLin...
Any ideas?
Thanks again, for your help and for sharing your precious time with my "little" problem...
Kind regards,
Eva
Edit:
thanks for your fast replies!
Here is a sample data set of 8 subjects, maybe this can help to illustrate my problem...
Subject Period Sequence Treatment AUC
------------------------------------------------
1 1 TR Test 3981.76
2 1 TR Test 5573.62
3 1 TR Test 5821.52
4 1 TR Test 8558.99
5 1 RT Reference 3958.93
6 1 RT Reference 5145.91
7 1 RT Reference 689.6
8 1 RT Reference 3812.02
1 2 TR Reference 4446.05
2 2 TR Reference 4847.12
3 2 TR Reference 4274.72
4 2 TR Reference 4839.49
5 2 RT Test 3219.92
6 2 RT Test 4587.32
7 2 RT Test 4436.7
8 2 RT Test 6168.8
My SAS results (PROC GLM) for these data are
EFFECT DF TYPE III SS MEAN SQUARE F-VALUE P-VALUE
---------------------------------------------------------------------------
Sequence 1 0.6105 0.6105 2.46 0.1678
Subject(Sequence) 6 1.5739 0.2623 1.06 0.4739
Treatment 1 0.5365 0.5365 2.16 0.1918
Period 1 0.0774 0.0774 0.31 0.5966
Error 6 1.4887 0.2481
and this is what WinNonlin calculated:
EFFECT DF TYPE III SS MEAN SQUARE F-VALUE P-VALUE
---------------------------------------------------------------------------
Sequence 1 0.6105 0.6105 2.33 0.1780
Subject(Sequence) 6 1.5739 0.2623 1.06 0.4739
Treatment 1 0.5365 0.5365 2.16 0.1918
Period 1 0.0774 0.0774 0.31 0.5966
Error 6 1.4887 0.2481
Dear Ohlbe,
I think I have picked the right F- and p-values from my output, I am using PROC GLM (and I just checked, the output is identical with PROC ANOVA) and picked the Sequence, Subject(Sequence), Treatment and Period results from the bottom part and the Error results from the top part.
Dear Helmut,
could this be a problem with my WNL version? (I noticed that you used v5.2, whereas I have v5.1.1)
As you can see above, the sums of squares are not the problem, it is only the F- and p-values that differ.
I understood that the F-value is the ratio of the effect mean square and the mean square error. This is correct for the SAS results (sequence: 0.6105/0.2481=2.46), but not for WinNonLin...
Any ideas?
Thanks again, for your help and for sharing your precious time with my "little" problem...
Kind regards,
Eva
Edit:
Treatment
in the table changed to Test
to avoid confusion with the heading. [Helmut]Complete thread:
- SAS vs. WinNonlin: different sequence effect results Eva 2008-05-06 14:04 [Software]
- SAS vs. WinNonlin: different sequence effect results Ohlbe 2008-05-06 15:56
- imbalanced design? Helmut 2008-05-06 16:13
- Sample data & resultsEva 2008-05-06 17:42
- Error factor Ohlbe 2008-05-06 19:25
- Error tests between/within Helmut 2008-05-06 21:33
- Error tests between/within Helmut 2008-05-07 18:18
- The power to know d_labes 2008-05-08 11:16
- The power to know Helmut 2008-05-08 17:18
- The power to know d_labes 2008-05-09 09:35
- The power to know Nirali 2008-05-09 11:00
- The power to know d_labes 2008-05-16 08:54
- The power to know Nirali 2008-05-09 11:00
- The power to know d_labes 2008-05-09 09:35
- The power to know kevan 2009-05-25 15:46
- Bogus statement for 2,2,2-BE ElMaestro 2009-05-25 22:25
- Bogus? What? d_labes 2009-05-27 08:57
- Linear model on steroids ElMaestro 2009-05-28 19:12
- Bogus? What? d_labes 2009-05-27 08:57
- Fixed nowadays what? d_labes 2009-05-27 09:03
- Bogus statement for 2,2,2-BE ElMaestro 2009-05-25 22:25
- The power to know Helmut 2008-05-08 17:18
- Kinetica 5.0 bug Helmut 2008-12-31 16:42
- Error tests between/within Helmut 2008-05-06 21:33
- Error factor Ohlbe 2008-05-06 19:25
- Sample data & resultsEva 2008-05-06 17:42