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Date:         Fri, 12 Sep 2008 18:05:05 -0700
Reply-To:     SR Millis <srmillis@yahoo.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         SR Millis <srmillis@yahoo.com>
Subject:      Re: Estimation Method for logistic regression in SPSS
Comments: To: Hesham Abdel-Meguid Abdalla <heshama@aun.edu.eg>
In-Reply-To:  <1192.62.117.54.19.1221261524.squirrel@webmail.aun.edu.eg>
Content-Type: text/plain; charset=iso-8859-1

If you want an "exact" method, it is available from Cytel as LogXact. It is also available in SAS. There are many different penalized methods---some are available in R. Check out Frank Harrell's book, "Regression Modeling Strategies," for details. Stata also features some penalized methods.

Scott R Millis, PhD, MEd, ABPP (CN,CL,RP), CStat Professor & Director of Research Dept of Physical Medicine & Rehabilitation Wayne State University School of Medicine 261 Mack Blvd Detroit, MI 48201 Email: smillis@med.wayne.edu Tel: 313-993-8085 Fax: 313-966-7682

--- On Fri, 9/12/08, Hesham Abdel-Meguid Abdalla <heshama@aun.edu.eg> wrote:

> From: Hesham Abdel-Meguid Abdalla <heshama@aun.edu.eg> > Subject: Re: Estimation Method for logistic regression in SPSS > To: SPSSX-L@LISTSERV.UGA.EDU > Date: Friday, September 12, 2008, 7:18 PM > I appreciate your kind help. but i am sorry that i did not > explian > well my question. MLE was developed to solve the problems > of small sample > and sparse data. there is Exact appproach, Conditional ML , > and penalized > ML. i need to know which method is used by SPSS to compare > its > results with another one. >

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