2-sequence, 2-period, 2-trt crossover design (R, SAS) [Software]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2009-08-20 14:02 (6144 d 04:21 ago) – Posting: # 4075
Views: 10,373

Dear Helmut,

❝ Yes, but have you noticed that results for period and treatment are numerically identical?


You're right! I really did NOT notice that part. A typical anova output obtained from bear is shown as follows.
  Dependent Variable: lnAUC0t                                               

Type I SS
Analysis of Variance Table

Response: lnAUC0t
          Df  Sum Sq Mean Sq F value Pr(>F)
seq        1 0.01876 0.01876  0.5138 0.4872
prd        1 0.00789 0.00789  0.2162 0.6503
drug       1 0.04216 0.04216  1.1546 0.3037
seq:subj  12 0.29718 0.02477  0.6782 0.7443
Residuals 12 0.43818 0.03652               

Type III SS
Single term deletions

Model:
lnAUC0t ~ seq + subj:seq + prd + drug
         Df Sum of Sq     RSS     AIC F value  Pr(F)
<none>                  0.438 -84.405               
prd       1     0.008   0.446 -85.905  0.2162 0.6503
drug      1     0.042   0.480 -83.833  1.1546 0.3037
seq:subj 12     0.297   0.735 -93.909  0.6782 0.7443

Tests of Hypothesis for SUBJECT(SEQUENCE) as an error term

Error: subj
          Df   Sum Sq  Mean Sq F value Pr(>F)
prd:drug   1 0.018762 0.018762  0.7576 0.4012
Residuals 12 0.297182 0.024765               

Error: Within
          Df  Sum Sq Mean Sq F value Pr(>F)
prd        1 0.00789 0.00789  0.2162 0.6503
drug       1 0.04216 0.04216  1.1546 0.3037
Residuals 12 0.43818 0.03652               

Intra_subj. CV = 100*sqrt(abs(exp(MSResidual)-1)) = 19.2847 %
Inter_subj. CV = 100*sqrt(abs(exp((MSSubject(seq)-MSResidual)/2)-1)) = 7.6536 %
    MSResidual = 0.03651522
MSSubject(seq) = 0.02476518


❝ Maybe there’s a mistake in the coding of the dataset (levels?).


The period and drug (treatment) could be coded incorrectly in the dataset.

All the best,
-- Yung-jin Lee
bear v2.9.6:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

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