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Re: st: logistic regression question


From   "stata_user stata_user" <[email protected]>
To   [email protected]
Subject   Re: st: logistic regression question
Date   Sun, 17 Jun 2007 13:47:40 +0100


Thanks Richard,

You mention that the 1s (Y=1) are large enough, is there a rule of thumb for this ? can you please, provide me with some references?

BW,

Sami



From: Richard Williams <[email protected]>
Reply-To: [email protected]
To: [email protected]
Subject: Re: st: logistic regression question
Date: Sat, 16 Jun 2007 18:58:14 -0500

At 03:53 PM 6/16/2007, you wrote:
Hi,

I have a binary outcome, Y , with the number of cases Y=1 is equal to 230 and for Y=0, I have 2100 individuals.

I want to analyse the relationship between Y and some continuous and discrete covariates.

I would like to know if the standard logistic regression is appropriate for this problem.

Thanks,

Sami
I would think so, although there is always the possibility that some other link function (probit, cloglog) or other alternative technique (scobit) might be better. It seems that the percentage of 1s is large enough that you don't need rare events logit. Still, you might check out Gary King's -relogit- program and his papers on it. The program and papers can be found at

http://gking.harvard.edu/stats.shtml


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Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
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EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam

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