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Re: st: Probabilities as predictor variables
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Probabilities as predictor variables
Date
Wed, 18 Apr 2012 16:58:47 +0100
A second take is that I don't see any objection to a predictor defined
on the interval [0,1] or (0, 1). But what functional form would make
sense? Depends on the application, but it might well be that you would
be better off working with say logit x rather than x, for similar but
not identical reasons to those for using logits for the response in
the usual model.
Nick
On Wed, Apr 18, 2012 at 4:22 PM, Nick Cox <[email protected]> wrote:
> I am not sure what distinction you are making here. But if a predictor
> is truly binary, then there can only be two predictions. Can still be
> useful: it's classically a t-test comparing two means and in most
> people's books just another regression.
>
> On Wed, Apr 18, 2012 at 4:00 PM, Ronald McDowell
> <[email protected]> wrote:
>> Hi
>>
>> I am able to fit a model in which a binary variable (0/1) is the dependent variable and another variable, such as age, is the predictor variable using logistic regression.
>>
>> Is it possible in STATA to fit a model in which these roles are reversed ie the binary variable is the independent variable (treated as a probability rather than as a dummy variable) and age is the outcome?
>>
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