Hi Matts,
In my experience, a typical MMRM model is made of many unconnected model
parameters usually with an unstructured variance/covariance matrix of
residual error and a single inter-individual parameter. It would be
relatively painful to copy and paste everything, but the general model
could look like this (this was typed directly into email, so it may not
work precisely).
Thanks,
Bill
$PRED
USE11 = 0 ; Trial arm 1, time point 1
USE12 = 0 ; Trial arm 1, time point 2
USE21 = 0 ; Trial arm 2, time point 1
USE22 = 0 ; Trial arm 2, time point 2
IF (TIME .EQ. 0 .AND. ARM .EQ. 1) USE11 = 1
IF (TIME .EQ. 1 .AND. ARM .EQ. 1) USE12 = 1
IF (TIME .EQ. 0 .AND. ARM .EQ. 2) USE21 = 1
IF (TIME .EQ. 1 .AND. ARM .EQ. 2) USE22 = 1
EFFECT = USE11 * THETA(1) + USE12 * THETA(2) + USE21 * THETA(3) + USE22
* THETA(4) + ETA(1)
$SIGMA BLOCK(4)
0.1
0.01 0.1
0.01 0.01 0.1
0.01 0.01 0.01 0.1
$THETA
1
1
1
1
$OMEGA
0.1
$ERROR
Y = EFFECT + USE11 * EPS(1) + USE12 * EPS(2) + USE21 * EPS(3) + USE22 *
EPS(4)
On 4/12/2016 7:10 PM, Matts Kågedal wrote:
Hi all,
Would any one be willing to share a nonmem control stream where mixed
model repeated measures (MMRM) is implemented.
Best,
Matts Kagedal
