Simulating longitudinal data in MLwiN
Posted: Mon Mar 07, 2011 4:03 pm
Hi multilevel modellers
i'm trying to simulate longitudinal data with parameters extrapolated
from a pilot study using a random effect model below
* MODEL:=> Y_ijk = b_0i + b_1i*(Time_j) + b_2*(treat_k) + e_ijk
* where: b_0i~N(b_0, sig2_u0); b_2i~N(b_1, sig2_u1) and cov(b_0i,
b_1i)=(sig_u01) ; treat_k[0,1] is the treatment indicator and time_j is the time point of outcome measure. b_0i and b_1i follows a bivariate normal distribution
i'm just wondering if this is possible in MLwiN? if so, how? may you please help me on this.
with many thanks
Munya
i'm trying to simulate longitudinal data with parameters extrapolated
from a pilot study using a random effect model below
* MODEL:=> Y_ijk = b_0i + b_1i*(Time_j) + b_2*(treat_k) + e_ijk
* where: b_0i~N(b_0, sig2_u0); b_2i~N(b_1, sig2_u1) and cov(b_0i,
b_1i)=(sig_u01) ; treat_k[0,1] is the treatment indicator and time_j is the time point of outcome measure. b_0i and b_1i follows a bivariate normal distribution
i'm just wondering if this is possible in MLwiN? if so, how? may you please help me on this.
with many thanks
Munya