Assume that we collect below data : - subjects = 20 males + 20 females, every single individual is independence, and difference events = 1, 2, 3... n covariates = 4 blood types A, B, AB, O
http://r.789695.n4.nabble.com/file/n4245397/CodeCogsEqn.jpeg λm = hazards rates for male λn = hazards rates for female Wm = Wn x ε, frailty for males, where ε is the edge ratio of male compare to female Wn = frailty for females X = covariates, blood types effects β = coefficients of blood types I would like to apply frailty model to get below results:- 1) 1 edge ratio between male and female ε 2) 4 coefficient values of blood types β Under this situation, shall I use which package (coxme or frailtypack)? will coxme function able to cope with it? -- View this message in context: http://r.789695.n4.nabble.com/Joint-modelling-of-survival-data-tp4245397p4245397.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.
