lme() in bear [🇷 for BE/BA]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2015-04-18 13:12 (3716 d 20:36 ago) – Posting: # 14697
Views: 29,679

Dear Elmaestro,

❝ 1. Could you try and fit fixed effects as log(Cmax) ~ 0+ drug + seq + prd, and then extract your drug effects directly from that.


OK. add an intercept?

  Statistical analysis (lme) - replicate BE study               
-------------------------------------------------
  Dependent Variable: ln(Cmax)                                           
Linear mixed-effects model fit by REML
 Data: inputdata
        AIC       BIC   logLik
  -174.2564 -153.2241 98.12818

Random effects:
 Formula: ~drug - 1 | subj
 Structure: General positive-definite, Log-Cholesky parametrization
         StdDev      Corr
drug1    0.149004554 drug1
drug2    0.122159679 0.15
Residual 0.007644172     

Variance function:
 Structure: Different standard deviations per stratum
 Formula: ~1 | drug
 Parameter estimates:
        1         2
1.0000000 0.4391939
Fixed effects: log(Cmax) ~ 0 + seq + prd + drug
          Value  Std.Error DF   t-value p-value
seq1   7.356274 0.05636146 12 130.51957  0.0000
seq2   7.358938 0.05152645 12 142.81866  0.0000
prd2  -0.061700 0.04760132 39  -1.29618  0.2025
prd3  -0.059641 0.04760132 39  -1.25293  0.2177
prd4   0.003482 0.00164306 39   2.11917  0.0405
drug2  0.063740 0.04758714 39   1.33943  0.1882


Looks like the same.

❝ 2. Could you compare and check the presence and handling of na's in your comparisons?

So there is no way to compare the difference.

All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
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