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Hello,

What about testing for a possible interaction between these two variables for non ordinal predictor?

Regards,
Linda

---------- Forwarded message ----------
From: Gary Bennett <[log in to unmask]>
Date: 2012/3/19
Subject: Re: Logistic regression with ordinal and dichotomous predictors?
To: [log in to unmask]


Hi Brian

That should be fine. There are two variants:

(a) either treat the ordinal as a numeric predictor, which assumes a linear relationship between the categories in the Logit OR
(b) dummy code two of the three categories as 0/1 leaving one (the reference category) blank.

Suggest you run (b) first and compare with (a) as a more restricted form of the model. You can either use -2LL or BIC/AIC as a parsimony adjusted assessment.

Good luck!
Gary

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-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of Dr Brian McMillan
Sent: 18 March 2012 15:31
To: [log in to unmask]
Subject: Logistic regression with ordinal and dichotomous predictors?

Hello all,

Is it possible to run a logistic regression with one ordinal predictor variable (1,2,3) and one dichotomous predictor variable (0,1)? The outcome is dichotomous (0,1).

Many thanks in advance,
Brian

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