I will begin working with data from a descriptive study in which the outcome is time to event (the event being change in therapy).
I need to come up to speed on the recurrent event design which takes into account the repeated measures nature of this design?
One area I am interested in is in the potential for time to event in the N event to serve as a covariate in the N+1 event.
So the critical aspect of the design is that Patients will have multiple events - the nature of the disease is that over a period of 3 years (the project duration) patients might experience 7 or more events
Singer and Willett refer to this as a multiple spell design in the 2003 Applied Long Regression text
Kleinbaum and Klein in their 2012 Survival analysis text refer to this as a recurrent event design.
I am focusing on the K&K text for now. Although they have discussion of this design in Chapter 8 (in which they model analyses in the Bladder cancer data set) -
I would benefit from programming examples in order to really feel competent in the analyses.
So my questions:
Can someone point me to resources that I can use to better understand how to set up the data set, run the models and interpret the results - In SPSS?
Alternatively I suppose I could model this in Mplus but I wanted to stay within SPSS if possible.
Thanks in advance,
Kleinbaum DG, & Klein M. (2012). Survival analysis: A self-learning text (3rd ed.). New York: NY:Springer. Singer, J..D ,Willett, J.B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence, Oxford University Press, New York.
William N Dudley, PhD
Piedmont Research Strategies, Inc
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