Bioequivalence and Bioavailability Forum

Mixed interest [General Statistics]

posted by Helmut – Vienna, Austria, 2010-07-13 21:19 (5421 d 16:56 ago) – Posting: # 5620
Views: 14,331

Dear D. Labes!

❝ ...

❝ The Mixed Procedure

❝

❝ Iteration History

❝

❝ Iteration Evaluations -2 Res Log Like Criterion

❝ 5 1 272.91032497 0.00000001

OK, I end up after 7 iterations at:
-2* REML log(likelihood) 251.724
Same result if use the default convergence criterion (10^-10), yours ((10^-8), or approach numeric resolution.

❝ Covariance Parameter Estimates

❝

❝ Cov Parm Subject Group Estimate

❝

❝ FA(1,1) Subject 0.5756

❝ FA(2,1) Subject 0.4485

❝ FA(2,2) Subject 0.3981

❝ Residual Subject Treatment R 0.1862 (CV=0.4524)

❝ Residual Subject Treatment T 0.3269

Closer match than we had in our previous example...

Final variance parameter estimates:

                 lambda(1,1)_11     0.575597

                 lambda(1,2)_11     0.448489

                 lambda(2,2)_11     0.355511

Var(PERIOD*TREATMEN*SUBJECT)_21     0.186160

Var(PERIOD*TREATMEN*SUBJECT)_22     0.359059

❝ And just more interesting: Analysis according to D. Brown (EMA)...

❝ ...

❝ The GLM Procedure

❝

❝ Dependent Variable: ln_Cmax ln_Cmax

❝

❝ Sum of

❝ Source DF Squares Mean Square F Value Pr > F

❝

❝ Model 45 38.86413212 0.86364738 4.73 <.0001

❝ Error 42 7.66318204 0.18245672

❝ Corrected Total 87 46.52731416

Confirmed.


       Total Observations :    88

        Observations Used :    88

              Residual SS :     7.66318204

              Residual df :    42

Final variance parameter estimates:

            Var(Residual)       0.18245672

❝ Very near to the MIXED results. But maybe this coincidence is by chance.

Who knows?

❝ But never trust estimates with questionable convergence in REML (WINNONLIN

❝ definitely warns at least "Output is suspect", R's lme() will throw an error if

❝ not converged and will not give you any parameter estimate or will not give

❝ any CI for the covariance parameters if VarCov is not positive definite, but

❝ the incredible tells all estimates

❝ as if nothing happens :angry: ).

Well, if I ask PHX/WNL for intermediate results (besides many pages of Matrazen aka matrices) I got an additional
Warning 11090: Asymptotic covariance matrix not computed. Information matrix is deemed singular.

—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes

Complete thread:

SABE Reference Variability and CI Computation preyes323 2010-07-12 17:12 [General Statistics]
- Dataset Helmut 2010-07-12 17:26
  - Dataset preyes323 2010-07-12 18:20
    - Data format Helmut 2010-07-12 18:38
      - Data format preyes323 2010-07-13 01:16
        
        SAS and/or Phoenix/WinNonlin-experts around? Helmut 2010-07-13 02:29
        
        Phoenix/WinNonlin-experts around? d_labes 2010-07-13 12:15
        
        Phoenix/WinNonlin-experts around? Helmut 2010-07-13 13:42
        
        Mixed interest d_labes 2010-07-13 15:11
        
        Mixed interestHelmut 2010-07-13 19:19
        
        lme() answer and beyond ... d_labes 2010-07-14 10:41
        
        lme() answer and beyond ... Helmut 2010-07-14 13:47
        
        AIC, BIC and that all ... d_labes 2010-07-15 12:01
        
        To Err is Human d_labes 2010-07-13 11:51
        
        To Err is Human, but... Helmut 2010-07-13 13:45
        
        ... to Arr is Pirate d_labes 2010-07-13 15:47
        
        Brilliant page!!! ElMaestro 2010-07-14 21:03
        
        To Err is Human preyes323 2010-07-14 14:45
        
        Heads up! Helmut 2010-07-14 15:17
        To Err is Teacher d_labes 2010-07-15 11:05
        
        To Err is Human preyes323 2010-07-16 02:28
        
        To Err is Human d_labes 2010-07-16 10:42
        
        To Err is Human preyes323 2010-07-17 11:14
        
        Regulatory constants d_labes 2010-07-19 10:00
        
        Data format ElMaestro 2011-02-06 11:54
        
        SAS System Viewer Helmut 2011-02-06 13:02

Mixed interest [General Sta­tis­tics]

Complete thread:

Mixed interest [General Statistics]