search for: topbox

I am trying to model a clusterd ordinal response data (either 1, 2 or 3) called , the correponding physician of the patient is also in the data. Since it is ordinal, I used the ordinal logit model topbox[i]~discrete with probability P[j,1],p[j,2], p[j,3], j is the corresponding physician of the ith patient C[j] is the physician effect , a1 and a1+theta is the common cutpoints for all physicians I generate 10,000 iteration and there are still high autocorrelation of a1 and tau. I thought 10,000 i...

...2 at yahoo.com.cn > Date: Tuesday, March 16, 2010, 12:19 PM > I am trying to model a clusterd > ordinal response data (either 1, 2 or 3) called , the > correponding physician of the patient is also in the data. > > Since it is ordinal, I used the ordinal logit model > > topbox[i]~discrete with probability P[j,1],p[j,2], p[j,3], > j is the corresponding physician of the ith patient > > C[j] is the physician effect , a1 and a1+theta is the > common cutpoints for all physicians > > I generate 10,000 iteration and there are still high > autocorrelatio...