Hello. I am supposed to begin thinking about modelling dialysis appointment attendance. I think it makes sense to model attendance as a yearly rate, patients average 156 appointments a year and most patients do not miss any appointments so there will be many zeros in terms of appointment absenteeism. Most papers in this area have used poisson and negative binomial regression models to model patient absenteeism. I recall reading an online Frank Harrell comment where he recommended using an ordinal regression model over a poisson model as it could handle many zeros better (hopefully my recollection is close). I am wondering if selecting an ordinal model here would be appropriate to model the rate of absenteeism as I am interested in trying something new.
Thanks for any direction!