HELLO<
I have repeated measures data where patient scores are measured over four visits. The time gap between the four measurements is not equidistant, Hence, wanted to use the exponential covariance structure for the residuals with actual time in days rather than the visits. Briefly, the data description is as follows
Dependent variable - TotalUnmetStaff
Visit - counterSwH_OM10_13_NM4
Time - LOS_SwH11_14_days2 ( in days)
Patient - UniqueClientID_A3
The model with visits instead of the actual time gap between the subsequent visits converges
mixed TotalUnmetStaff ib(4).counterSwH_OM10_13_NM4 || UniqueClientID_A3:, noconstant var reml residuals(exponential, t(counterSwH_OM10_13_NM4))
however model with the actual time gap gives me error message
. mixed TotalUnmetStaff ib(4).counterSwH_OM10_13_NM4 || UniqueClientID_A3:, noconstant var reml residuals(exponential, t(LOS_SwH11_14_days2))
Obtaining starting values by EM:
Performing gradient-based optimization:
initial values not feasible
r(1400);
Please advice.
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