Thanks again, @KFrank!
I especially appreciate the detail in your explanation of the statistics!  I’m following how all of that would apply for the entire dataset, but I’d like to be able to produce an estimation of the likelihood of “HomeRecovery” for an individual sample.  Given:
P(NotHosp and NotDeceased) != P(NotHosp) * P(NotDeceased)

as stated above and:
P(Hosp or Deceased) != P(Hosp) + P(Deceased)

since Hosp and Deceased are not mutually exclusive, I’m struggling to see how I can estimate P(HomeRec) for an individual sample.  Wouldn’t I need some kind of sophisticated simulation technique?
I feel like I’m missing something simple, so, as always, I appreciate your advice!!!
–SEH
EDIT: To be clear, I’m using (incorrectly) probabilistic notation to represent model likelihood for a single sample, not “true probability”.  Sorry for any confusion!
EDIT 2: Maybe my question would be better stated as “How can I estimate P(Hosp or Deceased) (or equivalently, P(NotHosp and NotDeceased)) for a single sample?”