Hello, I have few questions about recurring events. I would greatly appreciate it if anyone can assist me.
I have data that consist of approx 1,100 Consecutive patients released from hospital after first Myocardial infarction (MI). They were followed for 13 years. Recurrent MI and unstable angina pectoris (UAP) leading to hospitalization were recorded (within-subject range: 0-4 for recurrent MI; 0-19 for UAP). Socio demographic and clinical data were obtained at study entry. I want to fit Semiparametric regression models. 1. What will be the best method regarding the time scale (calendar times or gap times) when I want the fit a model for recurrent MI ? For the UAP recurrent event? 2. In 25% of the subjects the last MI event was fatal; will it be correct to consider fatal and non-fatal events as if they are events of the same type? Which R Package is best to deal with informative censoring? Can the "Survival" Package deal with this? Thanks in advance, Avi -- View this message in context: http://r.789695.n4.nabble.com/Survival-Analysis-tp3646804p3646804.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
