## Oops! [Study As­sess­ment]

Hi Mittyri,

» I meant to divide the MS of the sequence effect by the MS of subject(sequence), not by the MS of the residual error

Oops, how stupid!

Analysis of Variance Table Response: log(AUC)                  Df Sum Sq Mean Sq F value   Pr(>F)    sequence          1  2.932  2.9315  49.066 2.42e-08 ***
period            1  0.296  0.2959   4.953   0.0321 *  treatment         1  0.019  0.0190   0.319   0.5758    sequence:subject 38 14.077  0.3704   6.200 7.17e-08 *** Residuals        38  2.270  0.0597                      --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Error: Between subjects           Df  Sum Sq Mean Sq F value    Pr(>F)    sequence   1  2.9315 2.93150  7.9134 0.0077255 **
Residuals 38 14.0770 0.37045                      Error: Within subjects           Df  Sum Sq  Mean Sq F value  Pr(>F)  period     1 0.29594 0.295940  4.9532 0.03205 * treatment  1 0.01903 0.019032  0.3185 0.57580  Residuals 38 2.27040 0.059746                  --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Analysis of Variance Table Response: log(Cmax)                  Df Sum Sq Mean Sq F value   Pr(>F)    sequence          1  1.821  1.8205  23.193 2.36e-05 ***
period            1  0.372  0.3718   4.737   0.0358 *  treatment         1  0.005  0.0049   0.063   0.8033    sequence:subject 38 12.731  0.3350   4.268 9.78e-06 *** Residuals        38  2.983  0.0785                      --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Error: Between subjects           Df  Sum Sq Mean Sq F value   Pr(>F)  sequence   1  1.8205 1.82050  5.4341 0.025152 *
Residuals 38 12.7310 0.33501                    Error: Within subjects           Df  Sum Sq Mean Sq F value Pr(>F)  period     1 0.37182 0.37182  4.7370 0.0358 * treatment  1 0.00494 0.00494  0.0629 0.8033  Residuals 38 2.98270 0.07849                  --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

THX! I stand corrected.

Dif-tor heh smusma 🖖
Helmut Schütz

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