```Date: Tue, 29 Jan 2008 09:16:41 -0600 Reply-To: "Reutter, Alex" Sender: "SPSSX(r) Discussion" From: "Reutter, Alex" Subject: Re: Conditional logistic problems In-Reply-To: A<002701c861ea\$4adf5150\$2845cd80@ssw.buffalo.edu> Content-Type: text/plain; charset="us-ascii" Gene, This doesn't directly help your problems with COXREG, but if the dataset is matched 1:1 and not 1:many, you can alternatively use Multinomial Logistic Regression (NOMREG). There's an example in Marija Norusis's Advanced Statistical Procedures Companion and another in the online help (Help>Case Studies, then Regression Models>Multinomial Logistic). Cheers, Alex -----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Gene Maguin Sent: Monday, January 28, 2008 2:14 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: Conditional logistic problems All, I have been working with another list subscriber who has a matched (1:1) dataset and is trying to analyze relationships between variables using conditional logistic regression (CLR). I have no experience with this type of model. However, I did find a posting by Marta (shown below) as well as several discussion sites. Since spss logistic won't do a conditinal analysis, the trick is to use the coxreg procedure to do so. I believe I have faithfully followed Marta's directions but am getting no results and so, there is something I don't understand. Per Marta's posting, I have COXREG ftime /STATUS=outcome(1) /STRATA=pair /METHOD=ENTER x /PRINT=CI(95). Where Ftime is the survival time variable computed such that ftime=outcome+1. outcome is the case-control variable with 0=control, 1=case. Pair is the strata variable, 161 pairs. X is the IV. My case processing box shows Case Processing Summary N Percent Cases available in analysis Event(a) 161 50.0% Censored 0 .0% Total 161 50.0% Cases dropped Cases with missing values 0 .0% Cases with negative time 0 .0% Censored cases before the earliest event in a stratum 161 50.0% Total 322 100.0% a Dependent Variable: ftime Variables in the Equation(b) Wald df Sig. X . 0(a) . aDegree of freedom reduced because of constant or linearly dependent covariates bConstant or Linearly Dependent Covariates S = Stratum effect. x = .5093 + S; If somebody can educate me about what I'm missing or need to look at, I'd greatly appreciate it. Thanks, Gene Maguin ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ```

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