Luciana wrote:
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I am analyzing the marriage event using a two-wave survey (2001 &
2003). The dependent variable =0 if the respondent is unmarried and 1
otherwise. The purpose is to analyze whether a program implemented
after the 2001 survey delayed marriage among the respondents.
I was advised to use discrete-time survival analysis using logistic
regression in STATA, with 2 observations per respondent. But I have
two unanswered questions:
(1) I was told to include those who were already married in 2001. Does
this make sense?
(2) Also, all the studies I have read using discrete-time survival
analysis have more than 2 observations per respondent. Is it a problem
that I only have 2?
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This is a bit unclear to me. I assume, but I may be wrong:
- that the same persons were asked in 2001 and 2003
- that if a person became married between the first and second survey,
you don't know when (otherwise you would not need a discrete-time
analysis)
- that the intervention took place some time between 2001 and 2003.
- that "unmarried" means never married, so you can't change stats from
married to unmarried (divorce).
Obviously those who were already married in 2001 are not at risk to
become married. But I don't see how you could produce evidence on the
effect of an intervention if my assumptions are right. You must produce
some more information.
Svend
__________________________________________
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000 Aarhus C, Denmark
Phone: +45 8942 6090
Home: +45 8693 7796
Email: [email protected]
__________________________________________
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