Intersubject CV from Proc mixed [RSABE / ABEL]
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.
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).
Thanks
John
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
Complete thread:
- Intersubject CV from Proc mixed (partial replicate study) jag009 2013-08-28 20:13
- Intersubject CV from Proc mixed d_labes 2013-08-29 14:54
- Intersubject CV from Proc mixedjag009 2013-08-29 15:09
- G matrix and OT d_labes 2013-08-30 09:56
- G matrix and OT jag009 2013-09-04 17:29
- G matrix and OT d_labes 2013-08-30 09:56
- Intersubject CV from Proc mixedjag009 2013-08-29 15:09
- Intersubject CV from Proc mixed d_labes 2013-08-29 14:54