Following on from this, I was wondering how you would interpret the
coefficient on age-squared in Logistic regression. Also does including
age-squared mean that the interpretation of crude age variable is no more
relevant (or have I misunderstood Issac's point here)?
Cheers,
Shehzad
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Vargas Naranjo
Isaac Alonso
Sent: 11 June 2008 14:31
To: [email protected]
Subject: st: RE: Variables in logistic regression
I think you will not have problem to but a transformation in a MLR, but the
implications could be in the interpretation. You couldn't talk about the
age, you have to talk about the age*age in all the estimation or odds.
Isaac A. Vargas Naranjo.
Gesti�n Financiera - Divisi�n Clientes
-----Mensaje original-----
De: [email protected]
[mailto:[email protected]] En nombre de Alex Asiimwe
Enviado el: mi�rcoles, 11 de junio de 2008 07:01 a.m.
Para: [email protected]
Asunto: st: Variables in logistic regression
Dear STATA users,
Assuming I have age and gender, then I transform age to age*age to
normalise it. From here, I want logistic regression model to predit an
outcome- lets say mortality. Will I be wrong to use age, age*age and
gender all at the same time in the model? If so, what are the
implications?
e.g logistic outcome age age*age gender; In otherwords is acceptable to
use a variable and its transform in MLR (step wise)?
Can soemone help please
Thanks
alx
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