Bioequivalence and Bioavailability Forum • Pooled vs IBD T-R in SAS from non-SASian

Pooled vs IBD T-R in SAS from non-SASian [Design Issues]

posted by mittyri – Russia, 2019-03-24 00:13 (1460 d 17:55 ago) – Posting: # 20073
Views: 15,934

Dear Helmut,

❝ A request to the SASians of the forum: Please run Proc MIXED with DDFM=SATTERTHWAITE of the pooled data and both DDFM-options on the data where S is excluded.

Here's my (naive) attempt

<...>

ODS output estimates = _pooled;



proc mixed data=ex631 method=reml ITDETAILS maxiter=200;

class sequence subject period formula carry;

model ln_auc= sequence period formula/ddfm=SATTERTHWAITE outp=out;

random subject(sequence);

estimate 't T-R' formula -1 0 1/cl alpha=0.10;;

run;



Data _pooled;

set _pooled;

pe=round(100*exp(estimate), 0.00001);

lowerCL = lower;

upperCL = upper;

lower=round(100*exp(lowerCL), 0.00001);

upper=round(100*exp(upperCL), 0.00001);

run;



Data noS;

set ex631;

if formula = 'R' | formula = 'T';

run;



ODS output estimates = _TRonly;



proc mixed data=noS method=reml ITDETAILS maxiter=200;

class sequence subject period formula carry;

model ln_auc= sequence period formula/ddfm=SATTERTHWAITE outp=out;

random subject(sequence);

estimate 'T-R' formula -1 1/cl alpha=0.10;;

run;



Data _TRonly;

set _TRonly;

pe=round(100*exp(estimate), 0.00001);

lowerCL = lower;

upperCL = upper;

lower=round(100*exp(lowerCL), 0.00001);

upper=round(100*exp(upperCL), 0.00001);

run;

Results:


Option Label  Estimate StdErr DF tValue Probt Alpha Lower Upper    pe        lowerCL    upperCL

Pooled "t T-R" 0.1497 0.03848 115 3.89 0.0002 0.1  108.97 123.81 116.153  0.0859308889 0.2135523619

IBD     T-R    0.1488 0.03793 56.8 3.92 0.0002 0.1 108.92 123.65 116.047  0.0854035502 0.2122465728

—
Kind regards,
Mittyri

Complete thread:

Three-way crossover BABE Studies acfalcao 2007-09-16 22:34 [Design Issues]
- Three-way crossover example data set Helmut 2007-09-17 20:47
  - Three-way crossover example data set acfalcao 2007-09-17 23:02
    - Three-way crossover example data set Helmut 2007-09-18 12:47
      - Three-way crossover (WinNonlin) Nirali 2007-09-21 06:49
        
        Three-way crossover (WinNonlin) Helmut 2007-09-21 13:04
        
        Three-way crossover (WinNonlin) Nirali 2007-09-25 08:05
        
        Three-way crossover (WinNonlin) Helmut 2007-09-25 13:15
      - Three-way crossover example data set Irene_I 2018-06-07 11:09
        
        Three-way crossover example data set Helmut 2018-06-07 13:04
        
        Three-way crossover example data set Irene_I 2018-06-08 11:09
        Three-way crossover example data set Irene_I 2018-06-12 09:21
        
        Leave-One-Out (IBD) Helmut 2018-06-12 12:42
        
        Leave-One-Out (IBD) Irene_I 2018-06-13 05:02
        
        Impact of pooled variance (bias, CI) Helmut 2018-06-13 15:02
        
        carry (over?) d_labes 2018-06-13 15:31
  - Pseudo-periods ElAlumno 2019-03-14 23:40
    - Pseudo-periods Helmut 2019-03-15 00:47
      - Two‐at‐a‐Time analysis in R ElAlumno 2019-03-22 21:59
        
        fixed & mixed (dammit!) and a request to SASians Helmut 2019-03-23 01:03
        
        Pooled vs IBD T-R in SAS from non-SASianmittyri 2019-03-23 23:13
        
        Pooled vs IBD T-R in SAS from non-SASian Helmut 2019-03-23 23:36
        
        mixed in R mittyri 2019-03-23 23:50
        
        mixed in R (EMA B ≠ FDA) Helmut 2019-03-24 01:23
  - Williams design 3-way Brus 2021-06-09 16:48
    - Williams design 3-way Helmut 2021-06-09 17:48
      - Williams design 3-way Brus 2021-06-10 14:33
        
        Williams design 3-way Helmut 2021-06-10 15:03
        
        Williams design 3-way vezz 2021-06-10 17:23
        
        Williams design 3-way Helmut 2021-06-10 20:14
        
        Williams design 3-way vezz 2021-06-11 09:11
        
        Williams design 3-way Brus 2021-06-11 12:19
        Williams design 3-way Relaxation 2021-06-11 12:42
        
        Period effects in general Helmut 2021-06-11 15:41
        Williams design 3-way vezz 2021-06-11 16:56