How to Assess Goodness of Fit of Multinomial Logit Model for Ungrouped Data?

I have some data which starts like:

1101    0     1   8   2  Elective
317     1     1  13   4  Elective
623     1     1  16   7  Elective
1295    1     1   1   5    Urgent
1006    1     1   1   9  Elective
1197    0     1   5   6    Urgent
203     0     1   3   3  Elective
1317    1     1  21   5    Urgent
338     0     1  26   6  Elective
1478    1     1   2   4 Emergency

I am modelling admission on died, white, los and age using a multinomial logit model.

Does anybody have know how I could assess the goodness of fit of the model? Perhaps there is a hypothesis test I could use? Or a plot I could create?

If the data was grouped, I could use a $$\chi^2$$ goodness of fit test, but I don't know what I could use for ungrouped data. Neither do I know of any informative plots I could create.

Thanks for any suggestions.

• stats.stackexchange.com/questions/83899/… Nov 30 '18 at 7:44
• I am not sure that having ungrouped data is a limitation here. The info in the link @user2974951 shared should work in either case. Nov 30 '18 at 8:18