Hi all, I am trying to calculate the variance-covariance matrix for parameter Beta under the null (Ho) using the "prop.odds" function in the timereg package.
For the Cox PH model, I used the "vcov" function and did the following: cox <- coxph(Surv(time, censor) ~ x, iter = 0, init = 0, data = dat) sig2 <- vcov(cox) However, this vcov() does not work with the object created from "prop.odds". Is there something similar I can do to get this value from a prop.odds model? Thanks for the help! -- View this message in context: http://r.789695.n4.nabble.com/variance-of-beta-using-prop-odds-function-in-timereg-package-tp4713220.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.