David.
>> cox.fit=intcox(s_new~type+eye+sex+age+preopiop+preopva,data=glaucoma_new)
>> summary(cox.fit)
> Call:
> intcox(formula = s_new ~ type + eye + sex + age + preopiop +preopva, data = glaucoma_new)
>
> n= 339
>
> coef exp(coef) se(coef) z Pr(>|z|)
> typeTrab 0.59391 1.81106 NA NA NA
> eyeR 0.28419 1.32868 NA NA NA
> sexM -0.11597 0.89050 NA NA NA
> age -0.06556 0.93655 NA NA NA
> preopiop 0.03903 1.03980 NA NA NA
> preopva -0.05517 0.94632 NA NA NA
>
> exp(coef) exp(-coef) lower .95 upper .95
> typeTrab 1.8111 0.5522 NA NA
> eyeR 1.3287 0.7526 NA NA
> sexM 0.8905 1.1230 NA NA
> age 0.9365 1.0678 NA NA
> preopiop 1.0398 0.9617 NA NA
> preopva 0.9463 1.0567 NA NA
>
> Rsquare= NA (max possible= 0.327 )
> Likelihood ratio test= NA on 6 df, p=NA
> Wald test = NA on 6 df, p=NA
> Score (logrank) test = NA on 6 df, p=NA
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
David Winsemius
Alameda, CA, USA