Re: Ang. st: AW: Logistic regression with a continuous variable

 From Galina Hayes To statalist@hsphsun2.harvard.edu Subject Re: Ang. st: AW: Logistic regression with a continuous variable Date Fri, 6 Mar 2009 10:34:42 -0500 (EST)

```Hi Tomas,
I don't know if this is the 'right' way to do this but the way I do a fast check on the linearity assumption is with lowess curves where the Y variable is logit. This can be done through the GUI (select graphics, then smoothers, then lowess and check the logit outcome box) or by typing lowess died age, logit
Cheers,
Galina
----- Original Message -----
From: "Tomas Lind" <tomas.lind@sll.se>
To: statalist@hsphsun2.harvard.edu
Sent: Friday, March 6, 2009 10:20:46 AM GMT -05:00 US/Canada Eastern
Subject: Ang. st: AW: Logistic regression with a continuous variable

I want the independent variable to be linear to logit of the outcome to
have a proper model fit (in analogy with ordinary linear regression where I
want continuous IV to be linear to the outcome).

/Tomas

st: AW: Logistic regression with a continuous variable

Martin Weiss
till:
statalist
2009-03-06 16:05

Sänt av:
owner-statalist@hsphsun2.harvard.edu
Svara till statalist

<>

" How can I check that age is logit-linear?"

Why do you want to check for this?

HTH
Martin

-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Tomas Lind
Gesendet: Freitag, 6. März 2009 15:51
An: statalist@hsphsun2.harvard.edu
Betreff: st: Logistic regression with a continuous variable

Dear listers

I´m doing logistic regression and one of the predictors is age. How
can I check that age is logit-linear? (I´ve seen a lowess plot but I
don´t know how it was done or if it was a good method.)

Grateful if someone knows

Tomas

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