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Hello All, Please, I have question related to Bayesian modeling using BUGS. (1) In my Bayesian network, the continuos random variables were modeled as a normal distribution. Mu and precision, parameters of normal distribution, were set to some initial value. These random variables represent some predisposing factors to patient suffering from a disease, such as age and number of years of education. (2) In the same Bayesian network, I have also a categorial random variable conditionally dependent on such predisposing factors. This random variable represents the probability of patient having the disease of interest. The question is: how could I model a causal relation between a continuous random variable and a categorical random variable in a Bayesian network. I would appreciate any help. Best regards, — Flavio Luiz Seixas Federal Fluminense University Niterói - RJ - Brazil [log in to unmask] ------------------------------------------------------------------- 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