lme() in bear [🇷 for BE/BA]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2015-04-18 13:12 (4090 d 10:19 ago) – Posting: # 14697
Views: 33,306

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

Complete thread:

UA Flag
Activity
 Admin contact
23,656 posts in 4,994 threads, 1,570 registered users;
353 visitors (0 registered, 353 guests [including 81 identified bots]).
Forum time: 23:31 CEST (Europe/Vienna)

Most scientists today are devoid of ideas, full of fear, intent on
producing some paltry result so that they can add to the flood
of inane papers that now constitutes “scientific progress”
in many areas.    Paul Feyerabend

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5