Jay Tanzman <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>... > nothanks wrote: > > > > Hi folks, > > > > I am trying to develop a reasonable (not 'perfect') > > logistic/binary model and would appreciate > > critiques/suggestions/references. > > I'll start with an example of data: > > > > Suppose I have 10 cases, each with a binomial outcome > > (with n_1, ..., n_10 trials) and let's say 2 predictors, > > gender and age. For example case one has n_1=7 trials and > > 2 successes, case 2 has n_2=1 trial and 0 success, etc. > > > > Suppose the binary outcomes are legal decisions (say success > > is 'guilty') and each of the 10 cases corresponds to 10 judges. > > To clarify, "sex" and "age" are characteristics of the judges? > > -Jay
Yes. And there's no jury - think of it as traffic court. Also, the actual data has many more predictors with a mix of nominal and continuous variables. So, it is unlikely another judge will have the exact same covariate pattern. Which leads me to think, perhaps, that each "judge effect" is accounted for implicitly by his/her unique covariate pattern. ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
