Fast Cox PH regression
Fast Cox PH regression Robust variance is default variance with the summary.
phreg(formula, data, offset = NULL, weights = NULL, ...)
formula |
formula with 'Surv' outcome (see |
data |
data frame |
offset |
offsets for cox model |
weights |
weights for Cox score equations |
... |
Additional arguments to lower level funtions |
influence functions (iid) will follow numerical order of given cluster variable so ordering after $id will give iid in order of data-set.
Klaus K. Holst, Thomas Scheike
data(TRACE) dcut(TRACE) <- ~. out1 <- phreg(Surv(time,status==9)~vf+chf+strata(wmicat.4),data=TRACE) ## tracesim <- timereg::sim.cox(out1,1000) ## sout1 <- phreg(Surv(time,status==1)~vf+chf+strata(wmicat.4),data=tracesim) ## robust standard errors default summary(out1) par(mfrow=c(1,2)) bplot(out1) ## bplot(sout1,se=TRUE) ## computing robust variance for baseline rob1 <- robust.phreg(out1) bplot(rob1,se=TRUE,robust=TRUE) ## making iid decomposition of regression parameters betaiiid <- iid(out1) ## making iid decomposition of baseline at a specific time-point Aiiid <- mets:::iid.baseline.phreg(out1,time=30)
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