Multinomial regression and likelihood ratios

[Sakshi13]

Hello, I need to recreate the following table, could anyone please guide me for proper code. It says likelihood ratios calculated using multinomial regression. 

My outcome variable is binomial : 1 indicating return and 0 means no return

Age and height are continuous variable

while others are categorical with 0 and 1 values. 

When I searched , I get rather results of likelihood ratio tests, I will really appreciate all the help here. 

Thank you

Table 5. Likelihood ratios for all cause return 

Parameter	Likelihood ratio
Age Gender Height Renal disease Liver disease	0.06 0.03 1.09 0.70 0.07

* Via multinominal regression analysis, significance p<0.05.

[Reeza]

Likelihood ratio or odds ratio?

[Sakshi13]

Hi Reeza, likelihood ratio as mentioned in Table. I got this as an assignment.

[Reeza]

Do you have a reference for that then? Is it for when you're comparing models against each other? So fit base model and then fit a model with each covariate and test against base? Or something else? Sorry, my stats are rusty but I can definitely help if I understand the formula.

[Sakshi13]

Hello, I did email to my advisor what he actually meant. I am afraid I have no idea, but just have this Table. Would you be able to guide me towards the code for Multinomial regression? 

[Reeza]

PROC LOGISTIC and see the example section, nominal regression, there's a fully worked example in the docs.