I’ve a large data set with many variables of older peoples, many of whom have multiple hospital admissions over a year. My aims are with a multivariable model to:
(i) understand which variables are associated with the cumulative length of stay of all admissions within a year &
(ii) predict the cumulative length of stay.
Unfortunately ~25% of subjects die within one-year.
I’ve tried going down the “days alive out of hospital” path - the QQ plots are horrible and it is not giving me quite what I want.
I can recode by (eg) trichotomizing the cumulative LOS outcome and construct six outcomes (three each for those who survived a year and those who didn’t) and then construct a multinomial model. However, I am not satisfied with the loss of information this way.