Re: [R] coxme frailty model standard errors?

Hi, but why we do the difference : ltemp - 2 * diff(tfit$loglik[1:2]) ?? Where I can find information about Integrate Likelihooh and null like lihood?? Thank you very much, Roby -- View this message in context:

[R] coxme frailty model standard errors?

While it may be true that for coxme models the standard errors are not very good approximations, it is always useful to have them to compare with other diagnostics such as likelihood ratios and profile likelihoods. It is interesting to hear that with the currently used methodology Computation

Re: [R] coxme frailty model standard errors?

--- begin included message I am running R 2.6.1 on windows xp I am trying to fit a cox proportional hazard model with a shared Gaussian frailty term using coxme My model is specified as: nofit1-coxme(Surv(Age,cen1new)~ Sex+bo2+bo3,random=~1|isl,data=mydat) With x1-x3 being dummy variables, and

[R] coxme frailty model standard errors?

Hello, I am running R 2.6.1 on windows xp I am trying to fit a cox proportional hazard model with a shared Gaussian frailty term using coxme My model is specified as: nofit1-coxme(Surv(Age,cen1new)~ Sex+bo2+bo3,random=~1|isl,data=mydat) With x1-x3 being dummy variables, and isl being the

[R] coxme frailty model standard errors?

Hello, I am running R 2.6.1 on windows xp I am trying to fit a cox proportional hazard model with a shared Gaussian frailty term using coxme My model is specified as: nofit1-coxme(Surv(Age,cen1new)~ Sex+bo2+bo3,random=~1|isl,data=mydat) With x1-x3 being dummy variables, and isl being the