Hi All, Can anyone point me to an example where the response (y) is a multinomial ordinal variable taking values A, B, C... and the predictors (x) are both discrete and continuous. I am able to formulate my model for standard logistic regression where I have a binary response, as a random effects model: y_i/p_i ~ Bin( n_i, p_i) logit( p_i) = b_o + sum( j=1 to K ) b_j * x_ij + e_i e_i ~ N( 0, s^2) where i = 1...N is the number of observations in my data and K is the number of explanatory variables. However I would like to modify the above such that the y_i are now ordinal and can take >2 values. Thanks in advance, Richard. ------------------------------------------------------------------- This list is for discussion of modelling issues and the BUGS software. For help with crashes and error messages, first mail [log in to unmask] To mail the BUGS list, mail to [log in to unmask] Before mailing, please check the archive at www.jiscmail.ac.uk/lists/bugs.html Please do not mail attachments to the list. To leave the BUGS list, send LEAVE BUGS to [log in to unmask] If this fails, mail [log in to unmask], NOT the whole list