The type of model you might want to use depends on how the various events one same individual experiences occur. Depending on whether events occur independently or are previous/other-event(s)-dependent the model you should rely upon changes.
I would suggest you to have a look at the article below, which I found very useful.
Hope this helps,
Mariagrazia
Duration Models for Repeated Events
Authors: Box-Steffensmeier, Janet M.; Zorn, Christopher
Source: The Journal of Politics <https://owa.vtt.topsel.fi/content/bpl/jopo;jsessionid=1oypexthppjk0.alexandra> , Volume 64, Number 4, November 2002 , pp. 1069-1094(26)
Publisher: Blackwell Publishing <https://owa.vtt.topsel.fi/content/bp;jsessionid=1oypexthppjk0.alexandra>
________________________________
From: [email protected] on behalf of Luis Ortiz
Sent: Thu 24/01/2008 12:30
To: '[email protected]'
Subject: st: Discrete-time models with repeated events
Dear Statalisters,
I'm carrying out survival analysis of a process that conceivably occurs in
continuous time, but for which observed survival times are grouped into
intervals. Quite unfortunately, my data do not allow for more. According to
various sources, amongst them the valuable Stephen Jenkins' lessons,
discrete time models (i.e. logistic or cloglog) are called for. My first
question would be which one of these discrete models to choose. I'm afraid I
have not drawn a clear idea of the added value of the cloglog command,
relative to logistic.
My second question relates to the event I'm analyzing. The event may occur
several times for the same individual in the panel; in other words, a
repeated-events model seems to be called for. Is there any way of using
either the logistic or cloglog for a model with repeated events?
Many thanks for your help, and my apologies if the questions sound rather
na�ve for most of you
Best
Luis Ortiz
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