Date: Thu, 2 Nov 2006 15:29:04 +0100
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Eric Janssen <firstname.lastname@example.org>
Subject: Re: Recurrent Event Counting Process
Content-Type: text/plain; charset=ISO-8859-1
> My idea is based on the fact that a discrete time survival analysis can be
restructured to be solved using ordinary logistic regression. At least one
reference for this is Paul Allison.
Allison P. D. (1984) "Event history analysis. Regression for longitudinal event
data", Sage University Paper #46, Series Quantitative Applications in the
Allison P. D. (1982) "Discrete-time methods for the analysis of event histories"
in S. Leinhardt (ed.) Sociological Methodology, San Francisco: Jossey-Bass, pp.
A quite comprehensive introduction of the method.
- you can use the time IV as linear or categorical;
- you can apply multinomial logreg;
- no need to check equiprobablity assumptions as in Cox model
- an event may occur more than once within a single time interval - but there
are tricks to manage it properly.
Doug Massey and colleagues used discrete time event analysis in their studies of
the Mexican Migration project data base - a technique applied in Mexico for
other longitudinal surveys (EDER and ERMEU).