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Re: st: Outlier Analysis with Logit Models


From   "Stas Kolenikov" <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Outlier Analysis with Logit Models
Date   Tue, 2 May 2006 14:38:41 -0500

There is a number of diagnostic techniques available after -glm-,
including all sorts of residuals. The leverage is a feature of
explanatory variables, so you can just run the regular regression to
see which observations may be influential. There should also have been
some work on forward search diagnostics pioneered by Atkinson and
Riani; search those author names with logit or logistic at
scholar.google.com.

On 5/2/06, Elizabeth_Keating@harvard.edu <Elizabeth_Keating@harvard.edu> wrote:
I am interested in doing outlier analysis on logit regressions.  Dfits and
some other commands do not seem to work following logit.  What techniques
are available to use with logit or probit regressions?

- Liz

Elizabeth K. Keating, CPA
Assistant Professor of Public Policy
Kennedy School of Government
Harvard University

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--
Stas Kolenikov
http://stas.kolenikov.name

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