jag009
★★★

NJ,
2013-08-28 22:13
(4276 d 19:45 ago)

Posting: # 11374
Views: 6,414
 

 Intersubject CV from Proc mixed (partial repli­cate study) [RSABE / ABEL]

Hi all,

Is there a way to extract the intersubject CV from Proc Mixed for a 3-way partial replicate study (Based on the ABE part of the FDA RSABE Proc Mixed code)?

Covariance Parameter Estimates
Cov Parm     Subject      Group         Estimate
FA(1,1)      subject                     0.7868
FA(2,1)      subject                     0.6984
FA(2,2)      subject                     0.2112
Residual     subject  formulation Ref    0.1382
Residual     subject  formulation Test   0.08832


Thanks
John
d_labes
★★★

Berlin, Germany,
2013-08-29 16:54
(4276 d 01:03 ago)

@ jag009
Posting: # 11384
Views: 5,333
 

 Intersubject CV from Proc mixed

Dear John,

❝ Is there a way to extract the intersubject CV from Proc Mixed for a 3-way partial replicate study (Based on the ABE part of the FDA RSABE Proc Mixed code)?


From the FA0(2) parametrization there are complicated formulas conecting the covariance parameters with the intersubject CV's.
A simpler way would be to request the output of the G-Matrix via
   RANDOM treat/TYPE=FA0(2) SUB=subject G;
If you used the FDA code the G-Matrix is already requested

This matrix can be interpreted as
(   s2bT     rho*sbT*sbR )
( rho*sbT*sbR   s2bR     )

where the diagonal elements (inter-subject variances) can be converted to the CV's via
CVbT=sqrt(exp(s2bT)-1)
CVbR=sqrt(exp(s2bR)-1)


Cave on the order in the G-Matrix. It depends on your coding for treatment.

BTW: This way is not restricted to the partial replicate design but is general. But in case of it the trust in the numbers is restricted (at least by me :cool:).

Regards,

Detlew
jag009
★★★

NJ,
2013-08-29 17:09
(4276 d 00:49 ago)

@ d_labes
Posting: # 11385
Views: 5,242
 

 Intersubject CV from Proc mixed

Thank Detlew,

The output I first posted is from the FDA codes and yes "RANDOM treat/TYPE=FA0(2) SUB=subject G" is already there.

❝ This matrix can be interpreted as

(   s2bT     rho*sbT*sbR )

( rho*sbT*sbR   s2bR     )

❝ where the diagonal elements (inter-subject variances) can be converted to the CV's via

CVbT=sqrt(exp(s2bT)-1)

CVbR=sqrt(exp(s2bR)-1)


❝ Cave on the order in the G-Matrix. It depends on your coding for treatment.


Use the example output I posted originally, can you walk me through the above maze?

On another note (off topic but it's short so I might as well...) if you have a 2x2x2 crossover study carried out in 2 groups, would the following Proc GLM model statement be sufficient? The only one in the model statment which I have question on is PERIOD(GROUP).

MODEL &pk= GROUP SEQUENCE SUBJECT(GROUP*SEQUENCE) PERIOD(GROUP) TREATMENT GROUP*TREATMENT/SS1 SS3;
RANDOM SUBJECT(GROUP*SEQUENCE)/TEST;


Thanks
John
d_labes
★★★

Berlin, Germany,
2013-08-30 11:56
(4275 d 06:02 ago)

@ jag009
Posting: # 11394
Views: 5,170
 

 G matrix and OT

Dear John,

❝ Use the example output I posted originally, can you walk me through the above maze?


I don't see the G-matrix in your post. Need I glasses :cool:?
Have also a look at this post.

❝ On another note (off topic but it's short so I might as well...) if you have a 2x2x2 crossover study carried out in 2 groups, would the following Proc GLM model statement be sufficient? The only one in the model statment which I have question on is PERIOD(GROUP).


MODEL &pk= GROUP SEQUENCE SUBJECT(GROUP*SEQUENCE) PERIOD(GROUP) TREATMENT GROUP*TREATMENT/SS1 SS3;

RANDOM SUBJECT(GROUP*SEQUENCE)/TEST;


I would agree. But:
Barbara Davit (in a letter to one of my clients) additionally to your code requested the group-by-sequence interaction in the model.


Edit: See another thread – starting with this post. Helmut

Regards,

Detlew
jag009
★★★

NJ,
2013-09-04 19:29
(4269 d 22:29 ago)

@ d_labes
Posting: # 11438
Views: 5,191
 

 G matrix and OT

Hi Detlew,

❝ I don't see the G-matrix in your post. Need I glasses :cool:?

❝ Have also a look at this post.


Thanks! Helmut probably would chase me around with a broadsword for not searching the forum for previous postings. :-P

❝ I would agree. But:

❝ Barbara Davit (in a letter to one of my clients) additionally to your code requested the group-by-sequence interaction in the model.


I guess she has different opinion. The code I listed was requested by FDA a while back for one of my old studies (actually my boss' belonging, 15 yrs ago).

John
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