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From |
"Svend Juul" <SJ@SOCI.AU.DK> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: discrete-time survival analysis |

Date |
Thu, 2 Jun 2005 15:02:42 +0200 |

Luciana wrote: -------------------------------------------------- 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? -------------------------------------------------- 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: sj@soci.au.dk __________________________________________ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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