Bioequivalence and Bioavailability Forum • Modelling Parallel bears

Modelling Parallel bears [🇷 for BE/BA]

posted by yjlee168 – Kaohsiung, Taiwan, 2010-04-25 21:34 (5113 d 09:50 ago) – Posting: # 5214
Views: 55,890

Dear d_labes,

When I revised bear today, I found that the following two models got the same results (with built-in dataset in bear v2.4.2) for CIs.

❝ lmeCmax_ss<-lme(Cmax_ss ~ drug, random=~1|subj, data=Data,

❝ method="REML" )

 Dependent Variable: lnCmax                                              



Linear mixed-effects model fit by REML

 Data: TotalData 

        AIC       BIC   logLik

  -14.15488 -9.279372 11.07744



Random effects:

 Formula: ~1 | subj

        (Intercept)   Residual

StdDev:   0.1310857 0.04915712



Fixed effects: lnCmax ~ drug 

               Value  Std.Error DF   t-value p-value

(Intercept) 7.352034 0.03882889 25 189.34445  0.0000

drug2       0.008486 0.05392284 25   0.15738  0.8762

 Correlation: 

      (Intr)

drug2 -0.72 



Standardized Within-Group Residuals:

        Min          Q1         Med          Q3         Max 

-0.83569001 -0.14504896  0.05106144  0.21037957  0.69279954 



Number of Observations: 27

Number of Groups: 27

and

❝ lmCmax_ss<- lm(Cmax_ss ~ drug , data=TotalData)

Call:

lm(formula = lnCmax ~ drug, data = TotalData)



Residuals:

     Min       1Q   Median       3Q      Max 

-0.33321 -0.05783  0.02036  0.08388  0.27623 



Coefficients:

            Estimate Std. Error t value Pr(>|t|)    

(Intercept) 7.352034   0.038829 189.344   <2e-16 ***

drug2       0.008486   0.053923   0.157    0.876    

---

Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 



Residual standard error: 0.14 on 25 degrees of freedom

Multiple R-squared: 0.0009897,  Adjusted R-squared: -0.03897 

F-statistic: 0.02477 on 1 and 25 DF,  p-value: 0.8762

Just a quick response. I am studying Helmut's t tests for further revision.

—
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

Complete thread:

Parallel bears meeting at random in infinity d_labes 2010-04-22 11:43 [🇷 for BE/BA]
- Parallel bears meeting at random in infinity ElMaestro 2010-04-22 12:53
  - Parallel groups in bear - CIs d_labes 2010-04-22 14:00
    - Parallel groups in bear - CIs ElMaestro 2010-04-22 21:47
      - Parallel groups in bear - CIs d_labes 2010-04-23 09:09
    - Parallel groups in bear - CIs yjlee168 2010-04-25 23:29
- Parallel bears meeting at random in infinity yjlee168 2010-04-22 23:09
  - Modelling Parallel bears d_labes 2010-04-23 09:12
    - Modelling Parallel bears yjlee168 2010-04-23 21:14
      - Validating vs. WinNonlin... Helmut 2010-04-24 00:28
        
        Validating vs. WinNonlin... yjlee168 2010-04-24 19:36
        Validating vs. WinNonlin... yjlee168 2010-04-26 00:09
        
        Validating vs. WinNonlin... Helmut 2010-04-26 01:29
        
        WNL in replicate BE yjlee168 2010-04-26 08:59
        
        WNL in replicate BE Helmut 2010-04-26 16:15
      - Modelling Parallel bearsyjlee168 2010-04-25 19:34
        
        Modelling Parallel bears ElMaestro 2010-04-25 20:40
        Dataset Helmut 2010-04-25 22:38
        
        Dataset yjlee168 2010-04-25 22:44
        
        Dataset Helmut 2010-04-26 01:13
        
        Dataset yjlee168 2010-04-26 08:16
        
        NCA → Statistical analysis for parallel study Helmut 2010-04-26 13:12
        
        NCA → Statistical analysis for parallel study yjlee168 2010-04-26 18:43
        
        dilemma yjlee168 2010-04-26 08:41
        Equal variances d_labes 2010-04-26 09:04
        
        Equal variances yjlee168 2010-04-26 09:22
        
        GLM = Equal variances d_labes 2010-04-26 13:29
        
        GLM = Equal variances Helmut 2010-04-26 14:45
        
        I'm a believer d_labes 2010-04-26 15:58
        
        I'm a believer Helmut 2010-04-26 16:31
        
        Equal variances Helmut 2010-04-26 12:55
        
        gls() for unequal variances? d_labes 2010-04-26 16:36
        
        gls() for unequal variances? Helmut 2010-04-26 17:00
        Sims Helmut 2010-04-27 01:36
        
        Sandwich - Simsalabim d_labes 2010-04-28 10:58
        
        Sandwich - Simsalabim Helmut 2010-04-28 14:19
        parametrization of R function rlnorm martin 2010-05-02 18:22
        
        Mean of log-normal d_labes 2010-05-03 16:22
        parametrization of R function rlnorm ElMaestro 2013-07-26 21:42
        
        Martin‽ Helmut 2013-07-28 02:01