Parallel groups in bear - CIs [🇷 for BE/BA]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2010-04-26 01:29 (5107 d 23:45 ago) – Posting: # 5218
Views: 55,905

Dear d_labes,

❝ There is a hint I meanwhile discovered:

❝ Also the summary() function works on the lme-model intervals() does not:

> intervals(lmeModel, level=0.9)

❝ Error in intervals.lme(lmeModel) :

❝   Cannot get confidence intervals on var-cov components: Non-positive

❝ definite approximate variance-covariance.


I got the following results for ln(Cmax) using built-in dataset for parallel study in bear v2.4.2 with the model of lme(lnCmax ~ drug, random=~1|subj, data=TotalData, method="REML").
Approximate 90% confidence intervals

 Fixed effects:
                  lower       est.     upper
(Intercept)  7.28570851 7.35203371 7.4183589
drug2       -0.08362165 0.00848616 0.1005940
attr(,"label")
[1] "Fixed effects:"

 Random Effects:
  Level: subj
                       lower      est.        upper
sd((Intercept)) 1.185598e-13 0.1310857 144934894939

 Within-group standard error:
       lower         est.        upper
1.124716e-87 4.915712e-02 2.148474e+84

All the best,
-- Yung-jin Lee
bear v2.9.1:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

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