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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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 <njcoxstata@gmail.com> 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 > <McDowell-R3@email.ulster.ac.uk> 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? >> * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Probabilities as predictor variables***From:*Ronald McDowell <McDowell-R3@email.ulster.ac.uk>

**Re: st: Probabilities as predictor variables***From:*Nick Cox <njcoxstata@gmail.com>

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