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.
In other words, I am looking for Var(Beta under the null).
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)
Is there something similar to use for a prop.odds model?
Note: Here is a simple example of how I fit a prop.odds model
po <- prop.odds(Event(time, censor) ~ x, data = dat)
Thanks for the help!
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