Displaying 3 results from an estimated 3 matches for "selfpren".
2013 Aug 23
1
A couple of questions regarding the survival:::cch function
...oh.data$age <- ccoh.data$age/12 # Age in years
cch(Surv(edrel, rel) ~ stage + histol + age, data =ccoh.data, subcoh = ~subcohort, id=~seqno, cohort.size=4028)
cch(Surv(edrel, rel) ~ stage + histol + age, data =ccoh.data, subcoh = ~subcohort, id=~seqno, cohort.size=4028, method="SelfPren")
2) I also notice that Lin-Ying beta estimates are quite different from Self-Prentice estimates. But Lin and Ying (1993) 's state "the estimating equation... reduces to the pseduolikelihood score function of Self and Prentice" and Therneau and Li (1999, Lifetime Data An...
2008 Jun 12
1
cch function and time dependent covariates
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In case cohort study, we can fit proportional hazard regression model to
case-cohort data. In R, the function is cch() in Survival package
Now I am working on case cohort analysis with time dependent covariates
using cch() of "Survival" R package. I wonder if cch() provide this utility
or not?
The cch() manual does not say if time dependent covariate is
2008 Jun 16
1
回复: cch() and coxph() for case-cohort
...= 134 on 5 df, p=0
Score (logrank) test = 490 on 5 df, p=0, Robust = 165 p=0
(Note: the likelihood ratio and score tests assume independence of
observations within a cluster, the Wald and robust score tests do not).
> summary(fit.ccSP)
Case-cohort analysis,x$method, SelfPrentice
with subcohort of 668 from cohort of 4028
Call: cch(formula = Surv(edrel, rel) ~ stage + histol + age, data = ccoh.data,
subcoh = ~subcohort, id = ~seqno, cohort.size = 4028, method = "SelfPren")
Coefficients:
Coef HR (95% CI) p
stageII 0.736 2.088 1.491 2....