Comments (4)
OK with strata this became even more necessary because the correlation matrix is a whole mess.
One idea is: take the correlation matrix for the betas from the Cox model with the frailty as offset. This is provided by the mcox function.
Then do the rest of the trick with adjusting this matrix for stuff.
Upsides:
- should be waaaay faster than what is currently happening.
- should work with strata() in a pretty straight forward way, since those SE don't depend on the estimated hazard.
Downside:
- I would lose the CI in the predict function for the survival functions & stuff. Is this trade-off worth it?
from frailtyem.
Idea is to apply Louis formula for the partial likelihood
from frailtyem.
e.g. for the efficient score!
from frailtyem.
OK, that looks very difficult since Z it is also on numerator and on denominator, and then how the hell do we take the expectation.
Abandoning the part with the hazard is also not an option because then it would just take the information of beta given fixed hazard.
Therefore, currently on hol.d
from frailtyem.
Related Issues (20)
- Estimation with piecewise-constant hazard
- Estimation with fully parametric models
- Adjust the plots for the line colours
- Other frailty distributions
- Ignore the baseline hazard in the calculation of the information matrix
- Disable confidence intervals by default for the baseline hazard
- Make the syntax of the predict() mehtod more similar to the one in the survival package
- Update README so that future plans are also outlined
- Add date in DESCRIPTION
- autoplot() method does not register in R 3.5.0 HOT 1
- remove many dependencies HOT 1
- documentation in autoplot.emfrail
- residuals
- Perhaps change that in your autoplot function as default?
- Score test for beta == 0
- name of frailty column in object$frail
- check names in summary()$frail
- $fitted is log (lp) and not lp, check in the documentation
- How to print the etimated baseline hazard? HOT 3
- terminal() function not found
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from frailtyem.