Oops! [Study As­sess­ment]

posted by Helmut Homepage – Vienna, Austria, 2019-07-28 16:36 (629 d 20:43 ago) – Posting: # 20460
Views: 3,931

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.

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