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 ?m = hazards rates for male ?n = hazards rates for female Wm = Wn x ?, frailty for males, where ? is the edge ratio of male compare to female Wn = frailty for females X = covariates, blood types effects ? = coefficients of blood types I would like to apply frailty model to get below results:- 1) 1 edge ratio between male and female ? 2) 4 coefficient values of blood types ? 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.
Joint modelling of survival data
1 message · ryusuke