I fitted (using npmlt function) a mixte multinomial regression model which ran without errors.
I expecting that the outputs of the model includes p-values that I didn’t find.
I also tried to check the validity of the model using the common tool “check_model() function”, but I received a message this tool does not support this type of models.
My need now is tat someone here help me find out how to know about the significance of the coefficients of sch a model and how to check the validity of it.
Please, find below the outputs of the model:
Call: npmlt(formula = three levels categorical variable ~ variable1 + variable2 ,
formula.npo = ~1 + variable1 , random = ~1, id = Patient_id, k = 2)
Coefficients:
| |Estimate |Std. Error|
---------------------------------------------------
| (Intercept) 1 | -1.029e+01|2.995e+00 |
|(Intercept) 2 |1.024e+01 |1.544e+00|
|(Intercept) 3 |2.351e+01 |1.352e+00|
|variable1 level1 1 |-7.995e+00 | 2.444e+00|
|variable1 level1 2 |-2.711e+00 | 7.896e-01|
|variable1 level1 3 |-1.375e+01| 7.093e-01|
|variable1 level2 1 |-1.970e+01 |7.507e-07|
|variable1 level2 2 |-2.172e+01 |1.171e+00|
|variable1 level2 3 |-1.688e+01 | 9.573e-01|
|variable1 level3 1 |-1.976e+01 |5.782e-15|
|variable1 level3 2 |-2.835e+01 |3.827e-15|
|variable1 level3 3 |-4.295e+01 |8.260e-16|
|variable2 1 | 1.527e+00 |7.733e-01|
|variable2 2 |2.288e-01 |1.865e-01|
|variable2 3 |2.760e-01 |2.915e-01|
Could someone help me address the following concerns related to these outputs?
a) in this model specification, is it right that Patient_id is used as random intercept variable?
b) how do I check the validity of such a model? I noticed that a common tool like check_model did not work.
c) how do I know whether a coefficient is significant or not?
d) Can I calculate the odds ratio in the common way? I mean, exponentiating the coefficient?
e) Can I interpret the odds ratio in the common way?
f) how do I interpret such outputs (coefficients part)?
g) what is a mass point?
Thanks in advance for your answers.
Best